Overview

Dataset statistics

Number of variables330
Number of observations441456
Missing cells64809261
Missing cells (%)44.5%
Total size in memory1.2 GiB
Average record size in memory3.0 KiB

Variable types

Numeric319
Text7
Unsupported4

Alerts

CTELENUM has constant value ""Constant
COLGHOUS has constant value ""Constant
STATERES has constant value ""Constant
CTELNUM1 has constant value ""Constant
CCLGHOUS has constant value ""Constant
CTELENUM has 186811 (42.3%) missing valuesMissing
PVTRESD1 has 186811 (42.3%) missing valuesMissing
COLGHOUS has 441411 (> 99.9%) missing valuesMissing
STATERES has 186813 (42.3%) missing valuesMissing
CELLFON3 has 186810 (42.3%) missing valuesMissing
LADULT has 441411 (> 99.9%) missing valuesMissing
NUMADULT has 186836 (42.3%) missing valuesMissing
NUMMEN has 186953 (42.3%) missing valuesMissing
NUMWOMEN has 186954 (42.3%) missing valuesMissing
CTELNUM1 has 254645 (57.7%) missing valuesMissing
CELLFON2 has 254645 (57.7%) missing valuesMissing
CADULT has 254646 (57.7%) missing valuesMissing
PVTRESD2 has 254645 (57.7%) missing valuesMissing
CCLGHOUS has 440386 (99.8%) missing valuesMissing
CSTATE has 254644 (57.7%) missing valuesMissing
LANDLINE has 255389 (57.9%) missing valuesMissing
HHADULT has 259825 (58.9%) missing valuesMissing
POORHLTH has 214492 (48.6%) missing valuesMissing
BPMEDS has 263268 (59.6%) missing valuesMissing
CHOLCHK has 59154 (13.4%) missing valuesMissing
TOLDHI2 has 59154 (13.4%) missing valuesMissing
ASTHNOW has 382047 (86.5%) missing valuesMissing
DIABAGE2 has 384203 (87.0%) missing valuesMissing
NUMHHOL2 has 186811 (42.3%) missing valuesMissing
NUMPHON2 has 428206 (97.0%) missing valuesMissing
CPDEMO1 has 186811 (42.3%) missing valuesMissing
WEIGHT2 has 5315 (1.2%) missing valuesMissing
HEIGHT3 has 5911 (1.3%) missing valuesMissing
PREGNANT has 376504 (85.3%) missing valuesMissing
QLACTLM2 has 9338 (2.1%) missing valuesMissing
USEEQUIP has 10430 (2.4%) missing valuesMissing
BLIND has 11154 (2.5%) missing valuesMissing
DECIDE has 11740 (2.7%) missing valuesMissing
DIFFWALK has 12334 (2.8%) missing valuesMissing
DIFFDRES has 12728 (2.9%) missing valuesMissing
DIFFALON has 13326 (3.0%) missing valuesMissing
SMOKE100 has 14255 (3.2%) missing valuesMissing
SMOKDAY2 has 257263 (58.3%) missing valuesMissing
STOPSMK2 has 379938 (86.1%) missing valuesMissing
LASTSMK2 has 319266 (72.3%) missing valuesMissing
USENOW3 has 14890 (3.4%) missing valuesMissing
ALCDAY5 has 15931 (3.6%) missing valuesMissing
AVEDRNK2 has 230618 (52.2%) missing valuesMissing
DRNK3GE5 has 231036 (52.3%) missing valuesMissing
MAXDRNKS has 231439 (52.4%) missing valuesMissing
FRUITJU1 has 27998 (6.3%) missing valuesMissing
FRUIT1 has 29150 (6.6%) missing valuesMissing
FVBEANS has 30375 (6.9%) missing valuesMissing
FVGREEN has 31311 (7.1%) missing valuesMissing
FVORANG has 32115 (7.3%) missing valuesMissing
VEGETAB1 has 33138 (7.5%) missing valuesMissing
EXERANY2 has 35444 (8.0%) missing valuesMissing
EXRACT11 has 145678 (33.0%) missing valuesMissing
EXEROFT1 has 147431 (33.4%) missing valuesMissing
EXERHMM1 has 147791 (33.5%) missing valuesMissing
EXRACT21 has 148176 (33.6%) missing valuesMissing
EXEROFT2 has 244540 (55.4%) missing valuesMissing
EXERHMM2 has 244722 (55.4%) missing valuesMissing
STRENGTH has 38720 (8.8%) missing valuesMissing
LMTJOIN3 has 304766 (69.0%) missing valuesMissing
ARTHDIS2 has 304953 (69.1%) missing valuesMissing
ARTHSOCL has 305162 (69.1%) missing valuesMissing
JOINPAIN has 307728 (69.7%) missing valuesMissing
SEATBELT has 40467 (9.2%) missing valuesMissing
FLUSHOT6 has 41381 (9.4%) missing valuesMissing
FLSHTMY2 has 251262 (56.9%) missing valuesMissing
IMFVPLAC has 250257 (56.7%) missing valuesMissing
PNEUVAC3 has 41943 (9.5%) missing valuesMissing
HIVTST6 has 43387 (9.8%) missing valuesMissing
HIVTSTD3 has 327764 (74.2%) missing valuesMissing
WHRTST10 has 327938 (74.3%) missing valuesMissing
PDIABTST has 358696 (81.3%) missing valuesMissing
PREDIAB1 has 358696 (81.3%) missing valuesMissing
INSULIN has 412032 (93.3%) missing valuesMissing
BLDSUGAR has 412033 (93.3%) missing valuesMissing
FEETCHK2 has 412035 (93.3%) missing valuesMissing
DOCTDIAB has 412038 (93.3%) missing valuesMissing
CHKHEMO3 has 412039 (93.3%) missing valuesMissing
FEETCHK has 412317 (93.4%) missing valuesMissing
EYEEXAM has 412039 (93.3%) missing valuesMissing
DIABEYE has 412040 (93.3%) missing valuesMissing
DIABEDU has 412040 (93.3%) missing valuesMissing
PAINACT2 has 441456 (100.0%) missing valuesMissing
QLMENTL2 has 441456 (100.0%) missing valuesMissing
QLSTRES2 has 441456 (100.0%) missing valuesMissing
QLHLTH2 has 441456 (100.0%) missing valuesMissing
CAREGIV1 has 332461 (75.3%) missing valuesMissing
CRGVREL1 has 417436 (94.6%) missing valuesMissing
CRGVLNG1 has 417461 (94.6%) missing valuesMissing
CRGVHRS1 has 417493 (94.6%) missing valuesMissing
CRGVPRB1 has 417524 (94.6%) missing valuesMissing
CRGVPERS has 417554 (94.6%) missing valuesMissing
CRGVHOUS has 417571 (94.6%) missing valuesMissing
CRGVMST2 has 417634 (94.6%) missing valuesMissing
CRGVEXPT has 356769 (80.8%) missing valuesMissing
VIDFCLT2 has 438257 (99.3%) missing valuesMissing
VIREDIF3 has 438268 (99.3%) missing valuesMissing
VIPRFVS2 has 438268 (99.3%) missing valuesMissing
VINOCRE2 has 440388 (99.8%) missing valuesMissing
VIEYEXM2 has 438927 (99.4%) missing valuesMissing
VIINSUR2 has 438275 (99.3%) missing valuesMissing
VICTRCT4 has 438278 (99.3%) missing valuesMissing
VIGLUMA2 has 438278 (99.3%) missing valuesMissing
VIMACDG2 has 438281 (99.3%) missing valuesMissing
CIMEMLOS has 324727 (73.6%) missing valuesMissing
CDHOUSE has 428200 (97.0%) missing valuesMissing
CDASSIST has 428215 (97.0%) missing valuesMissing
CDHELP has 437130 (99.0%) missing valuesMissing
CDSOCIAL has 428238 (97.0%) missing valuesMissing
CDDISCUS has 428255 (97.0%) missing valuesMissing
WTCHSALT has 400157 (90.6%) missing valuesMissing
LONGWTCH has 415994 (94.2%) missing valuesMissing
DRADVISE has 400193 (90.7%) missing valuesMissing
ASTHMAGE has 440433 (99.8%) missing valuesMissing
ASATTACK has 440808 (99.9%) missing valuesMissing
ASERVIST has 441143 (99.9%) missing valuesMissing
ASDRVIST has 441144 (99.9%) missing valuesMissing
ASRCHKUP has 440812 (99.9%) missing valuesMissing
ASACTLIM has 440812 (99.9%) missing valuesMissing
ASYMPTOM has 440815 (99.9%) missing valuesMissing
ASNOSLEP has 440999 (99.9%) missing valuesMissing
ASTHMED3 has 440817 (99.9%) missing valuesMissing
ASINHALR has 440817 (99.9%) missing valuesMissing
HAREHAB1 has 440445 (99.8%) missing valuesMissing
STREHAB1 has 440762 (99.8%) missing valuesMissing
CVDASPRN has 422658 (95.7%) missing valuesMissing
ASPUNSAF has 428279 (97.0%) missing valuesMissing
RLIVPAIN has 435837 (98.7%) missing valuesMissing
RDUCHART has 435837 (98.7%) missing valuesMissing
RDUCSTRK has 435838 (98.7%) missing valuesMissing
ARTTODAY has 421769 (95.5%) missing valuesMissing
ARTHWGT has 421781 (95.5%) missing valuesMissing
ARTHEXER has 421786 (95.5%) missing valuesMissing
ARTHEDU has 421796 (95.5%) missing valuesMissing
TETANUS has 400869 (90.8%) missing valuesMissing
HPVADVC2 has 430533 (97.5%) missing valuesMissing
HPVADSHT has 440008 (99.7%) missing valuesMissing
SHINGLE2 has 413397 (93.6%) missing valuesMissing
HADMAM has 418643 (94.8%) missing valuesMissing
HOWLONG has 422914 (95.8%) missing valuesMissing
HADPAP2 has 418654 (94.8%) missing valuesMissing
LASTPAP2 has 420189 (95.2%) missing valuesMissing
HPVTEST has 418667 (94.8%) missing valuesMissing
HPLSTTST has 434549 (98.4%) missing valuesMissing
HADHYST2 has 418889 (94.9%) missing valuesMissing
PROFEXAM has 435811 (98.7%) missing valuesMissing
LENGEXAM has 436523 (98.9%) missing valuesMissing
BLDSTOOL has 387081 (87.7%) missing valuesMissing
LSTBLDS3 has 421679 (95.5%) missing valuesMissing
HADSIGM3 has 387113 (87.7%) missing valuesMissing
HADSGCO1 has 402095 (91.1%) missing valuesMissing
LASTSIG3 has 402098 (91.1%) missing valuesMissing
PCPSAAD2 has 434829 (98.5%) missing valuesMissing
PCPSADI1 has 434836 (98.5%) missing valuesMissing
PCPSARE1 has 434841 (98.5%) missing valuesMissing
PSATEST1 has 434841 (98.5%) missing valuesMissing
PSATIME has 437822 (99.2%) missing valuesMissing
PCPSARS1 has 437825 (99.2%) missing valuesMissing
PCPSADE1 has 440637 (99.8%) missing valuesMissing
SCNTMNY1 has 371954 (84.3%) missing valuesMissing
SCNTMEL1 has 368096 (83.4%) missing valuesMissing
SCNTPAID has 406701 (92.1%) missing valuesMissing
SCNTWRK1 has 406722 (92.1%) missing valuesMissing
SCNTLPAD has 415751 (94.2%) missing valuesMissing
SCNTLWK1 has 403034 (91.3%) missing valuesMissing
SXORIENT has 274459 (62.2%) missing valuesMissing
TRNSGNDR has 274549 (62.2%) missing valuesMissing
RCSGENDR has 381846 (86.5%) missing valuesMissing
RCSRLTN2 has 382040 (86.5%) missing valuesMissing
CASTHDX2 has 389151 (88.2%) missing valuesMissing
CASTHNO2 has 434953 (98.5%) missing valuesMissing
EMTSUPRT has 421392 (95.5%) missing valuesMissing
LSATISFY has 421404 (95.5%) missing valuesMissing
ADPLEASR has 421011 (95.4%) missing valuesMissing
ADDOWN has 421027 (95.4%) missing valuesMissing
ADSLEEP has 421037 (95.4%) missing valuesMissing
ADENERGY has 421043 (95.4%) missing valuesMissing
ADEAT1 has 421054 (95.4%) missing valuesMissing
ADFAIL has 421061 (95.4%) missing valuesMissing
ADTHINK has 421075 (95.4%) missing valuesMissing
ADMOVE has 421091 (95.4%) missing valuesMissing
MISTMNT has 421106 (95.4%) missing valuesMissing
ADANXEV has 421114 (95.4%) missing valuesMissing
MSCODE has 190877 (43.2%) missing valuesMissing
_CHISPNC has 121821 (27.6%) missing valuesMissing
_CRACE1 has 376327 (85.2%) missing valuesMissing
_CPRACE has 376327 (85.2%) missing valuesMissing
_CLLCPWT has 381866 (86.5%) missing valuesMissing
_DUALCOR has 165805 (37.6%) missing valuesMissing
_RFCHOL has 59154 (13.4%) missing valuesMissing
_RACE_G1 has 7437 (1.7%) missing valuesMissing
HTIN4 has 17260 (3.9%) missing valuesMissing
HTM4 has 15432 (3.5%) missing valuesMissing
WTKG3 has 30921 (7.0%) missing valuesMissing
_BMI5 has 36398 (8.2%) missing valuesMissing
_BMI5CAT has 36398 (8.2%) missing valuesMissing
FTJUDA1_ has 38535 (8.7%) missing valuesMissing
FRUTDA1_ has 36582 (8.3%) missing valuesMissing
BEANDAY_ has 39947 (9.0%) missing valuesMissing
GRENDAY_ has 37949 (8.6%) missing valuesMissing
ORNGDAY_ has 39258 (8.9%) missing valuesMissing
VEGEDA1_ has 41463 (9.4%) missing valuesMissing
_FRUTSUM has 43711 (9.9%) missing valuesMissing
_VEGESUM has 51117 (11.6%) missing valuesMissing
METVL11_ has 146892 (33.3%) missing valuesMissing
METVL21_ has 151842 (34.4%) missing valuesMissing
ACTIN11_ has 150022 (34.0%) missing valuesMissing
ACTIN21_ has 154872 (35.1%) missing valuesMissing
PADUR1_ has 153740 (34.8%) missing valuesMissing
PADUR2_ has 249129 (56.4%) missing valuesMissing
PAFREQ1_ has 150291 (34.0%) missing valuesMissing
PAFREQ2_ has 246760 (55.9%) missing valuesMissing
_MINAC11 has 155539 (35.2%) missing valuesMissing
_MINAC21 has 157802 (35.7%) missing valuesMissing
STRFREQ_ has 44013 (10.0%) missing valuesMissing
PAMIN11_ has 158480 (35.9%) missing valuesMissing
PAMIN21_ has 160714 (36.4%) missing valuesMissing
PA1MIN_ has 152419 (34.5%) missing valuesMissing
PAVIG11_ has 153678 (34.8%) missing valuesMissing
PAVIG21_ has 158041 (35.8%) missing valuesMissing
PA1VIGM_ has 150970 (34.2%) missing valuesMissing
_FLSHOT6 has 283502 (64.2%) missing valuesMissing
_PNEUMO2 has 283502 (64.2%) missing valuesMissing
_AIDTST3 has 43387 (9.8%) missing valuesMissing
PVTRESD1 is highly skewed (γ1 = 75.20534945)Skewed
CELLFON2 is highly skewed (γ1 = 432.216381)Skewed
FTJUDA1_ is highly skewed (γ1 = 31.4899396)Skewed
FRUTDA1_ is highly skewed (γ1 = 25.78031357)Skewed
BEANDAY_ is highly skewed (γ1 = 57.33289258)Skewed
GRENDAY_ is highly skewed (γ1 = 27.8784201)Skewed
ORNGDAY_ is highly skewed (γ1 = 56.11249827)Skewed
VEGEDA1_ is highly skewed (γ1 = 35.65743194)Skewed
_FRUTSUM is highly skewed (γ1 = 21.39559977)Skewed
_VEGESUM is highly skewed (γ1 = 22.01720528)Skewed
_FRT16 is highly skewed (γ1 = -69.24931465)Skewed
_VEG23 is highly skewed (γ1 = -96.90069539)Skewed
_MINAC21 is highly skewed (γ1 = 25.84387845)Skewed
PAINACT2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
QLMENTL2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
QLSTRES2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
QLHLTH2 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-06-18 18:12:09.294821
Analysis finished2024-06-18 18:12:16.141740
Duration6.85 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

_STATE
Real number (ℝ)

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.96871489
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:16.189822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q119
median29
Q344
95-th percentile54
Maximum72
Range71
Interquartile range (IQR)25

Descriptive statistics

Standard deviation16.03470959
Coefficient of variation (CV)0.5350482878
Kurtosis-0.7338416684
Mean29.96871489
Median Absolute Deviation (MAD)12
Skewness0.131220552
Sum13229869
Variance257.1119116
MonotonicityIncreasing
2024-06-18T20:12:16.250650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 23236
 
5.3%
31 17561
 
4.0%
27 16761
 
3.8%
53 16116
 
3.7%
48 14697
 
3.3%
8 13537
 
3.1%
6 12601
 
2.9%
24 12598
 
2.9%
36 12357
 
2.8%
39 11929
 
2.7%
Other values (43) 290063
65.7%
ValueCountFrequency (%)
1 7950
1.8%
2 3657
 
0.8%
4 7946
1.8%
5 5256
1.2%
6 12601
2.9%
ValueCountFrequency (%)
72 5405
1.2%
66 1669
 
0.4%
56 5492
1.2%
55 6188
1.4%
54 5957
1.3%

FMONTH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.359675709
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:16.300146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.48713102
Coefficient of variation (CV)0.5483189992
Kurtosis-1.240244263
Mean6.359675709
Median Absolute Deviation (MAD)3
Skewness0.02099027028
Sum2807517
Variance12.16008275
MonotonicityNot monotonic
2024-06-18T20:12:16.341289image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 44300
10.0%
10 42246
9.6%
7 41296
9.4%
4 40560
9.2%
2 37154
8.4%
3 35066
7.9%
11 34398
7.8%
5 33506
7.6%
12 33418
7.6%
9 33273
7.5%
Other values (2) 66239
15.0%
ValueCountFrequency (%)
1 44300
10.0%
2 37154
8.4%
3 35066
7.9%
4 40560
9.2%
5 33506
7.6%
ValueCountFrequency (%)
12 33418
7.6%
11 34398
7.8%
10 42246
9.6%
9 33273
7.5%
8 33062
7.5%

IDATE
Text

Distinct415
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 MiB
2024-06-18T20:12:16.440828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters4856016
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowb'01292015'
2nd rowb'01202015'
3rd rowb'02012015'
4th rowb'01142015'
5th rowb'01142015'
ValueCountFrequency (%)
b'06022015 2148
 
0.5%
b'06032015 2142
 
0.5%
b'03032015 2073
 
0.5%
b'12032015 2065
 
0.5%
b'12092015 2010
 
0.5%
b'03042015 1971
 
0.4%
b'07092015 1970
 
0.4%
b'04072015 1964
 
0.4%
b'06042015 1958
 
0.4%
b'07082015 1943
 
0.4%
Other values (405) 421212
95.4%
2024-06-18T20:12:16.602499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 993799
20.5%
' 882912
18.2%
1 840178
17.3%
2 684715
14.1%
5 506293
10.4%
b 441456
9.1%
3 103519
 
2.1%
6 89844
 
1.9%
4 80580
 
1.7%
7 79720
 
1.6%
Other values (2) 153000
 
3.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4856016
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 993799
20.5%
' 882912
18.2%
1 840178
17.3%
2 684715
14.1%
5 506293
10.4%
b 441456
9.1%
3 103519
 
2.1%
6 89844
 
1.9%
4 80580
 
1.7%
7 79720
 
1.6%
Other values (2) 153000
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4856016
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 993799
20.5%
' 882912
18.2%
1 840178
17.3%
2 684715
14.1%
5 506293
10.4%
b 441456
9.1%
3 103519
 
2.1%
6 89844
 
1.9%
4 80580
 
1.7%
7 79720
 
1.6%
Other values (2) 153000
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4856016
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 993799
20.5%
' 882912
18.2%
1 840178
17.3%
2 684715
14.1%
5 506293
10.4%
b 441456
9.1%
3 103519
 
2.1%
6 89844
 
1.9%
4 80580
 
1.7%
7 79720
 
1.6%
Other values (2) 153000
 
3.2%

IMONTH
Text

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.1 MiB
2024-06-18T20:12:16.680284image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters2207280
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb'01'
2nd rowb'01'
3rd rowb'02'
4th rowb'01'
5th rowb'01'
ValueCountFrequency (%)
b'03 42406
9.6%
b'11 39845
9.0%
b'02 39218
8.9%
b'01 37532
8.5%
b'07 36943
8.4%
b'12 36409
8.2%
b'08 36334
8.2%
b'06 36216
8.2%
b'04 35840
8.1%
b'10 35545
8.1%
Other values (2) 65168
14.8%
2024-06-18T20:12:16.791249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 882912
40.0%
b 441456
20.0%
0 365202
16.5%
1 189176
 
8.6%
2 75627
 
3.4%
3 42406
 
1.9%
7 36943
 
1.7%
8 36334
 
1.6%
6 36216
 
1.6%
4 35840
 
1.6%
Other values (2) 65168
 
3.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2207280
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 882912
40.0%
b 441456
20.0%
0 365202
16.5%
1 189176
 
8.6%
2 75627
 
3.4%
3 42406
 
1.9%
7 36943
 
1.7%
8 36334
 
1.6%
6 36216
 
1.6%
4 35840
 
1.6%
Other values (2) 65168
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2207280
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 882912
40.0%
b 441456
20.0%
0 365202
16.5%
1 189176
 
8.6%
2 75627
 
3.4%
3 42406
 
1.9%
7 36943
 
1.7%
8 36334
 
1.6%
6 36216
 
1.6%
4 35840
 
1.6%
Other values (2) 65168
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2207280
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 882912
40.0%
b 441456
20.0%
0 365202
16.5%
1 189176
 
8.6%
2 75627
 
3.4%
3 42406
 
1.9%
7 36943
 
1.7%
8 36334
 
1.6%
6 36216
 
1.6%
4 35840
 
1.6%
Other values (2) 65168
 
3.0%

IDAY
Text

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.1 MiB
2024-06-18T20:12:16.874323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters2207280
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb'29'
2nd rowb'20'
3rd rowb'01'
4th rowb'14'
5th rowb'14'
ValueCountFrequency (%)
b'09 18669
 
4.2%
b'08 17398
 
3.9%
b'07 17175
 
3.9%
b'12 17089
 
3.9%
b'14 17052
 
3.9%
b'11 17037
 
3.9%
b'10 16810
 
3.8%
b'03 16649
 
3.8%
b'13 16536
 
3.7%
b'06 16408
 
3.7%
Other values (21) 270633
61.3%
2024-06-18T20:12:17.001755image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 882912
40.0%
b 441456
20.0%
1 209546
 
9.5%
0 187141
 
8.5%
2 167632
 
7.6%
3 61113
 
2.8%
4 44740
 
2.0%
8 43176
 
2.0%
7 42777
 
1.9%
6 42713
 
1.9%
Other values (2) 84074
 
3.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2207280
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 882912
40.0%
b 441456
20.0%
1 209546
 
9.5%
0 187141
 
8.5%
2 167632
 
7.6%
3 61113
 
2.8%
4 44740
 
2.0%
8 43176
 
2.0%
7 42777
 
1.9%
6 42713
 
1.9%
Other values (2) 84074
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2207280
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 882912
40.0%
b 441456
20.0%
1 209546
 
9.5%
0 187141
 
8.5%
2 167632
 
7.6%
3 61113
 
2.8%
4 44740
 
2.0%
8 43176
 
2.0%
7 42777
 
1.9%
6 42713
 
1.9%
Other values (2) 84074
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2207280
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 882912
40.0%
b 441456
20.0%
1 209546
 
9.5%
0 187141
 
8.5%
2 167632
 
7.6%
3 61113
 
2.8%
4 44740
 
2.0%
8 43176
 
2.0%
7 42777
 
1.9%
6 42713
 
1.9%
Other values (2) 84074
 
3.8%

IYEAR
Text

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.9 MiB
2024-06-18T20:12:17.062551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters3090192
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb'2015'
2nd rowb'2015'
3rd rowb'2015'
4th rowb'2015'
5th rowb'2015'
ValueCountFrequency (%)
b'2015 430541
97.5%
b'2016 10915
 
2.5%
2024-06-18T20:12:17.153015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 882912
28.6%
b 441456
14.3%
2 441456
14.3%
0 441456
14.3%
1 441456
14.3%
5 430541
13.9%
6 10915
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3090192
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 882912
28.6%
b 441456
14.3%
2 441456
14.3%
0 441456
14.3%
1 441456
14.3%
5 430541
13.9%
6 10915
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3090192
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 882912
28.6%
b 441456
14.3%
2 441456
14.3%
0 441456
14.3%
1 441456
14.3%
5 430541
13.9%
6 10915
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3090192
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 882912
28.6%
b 441456
14.3%
2 441456
14.3%
0 441456
14.3%
1 441456
14.3%
5 430541
13.9%
6 10915
 
0.4%

DISPCODE
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1115.040457
Minimum1100
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.202743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile1100
Q11100
median1100
Q31100
95-th percentile1200
Maximum1200
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.74679356
Coefficient of variation (CV)0.03205874131
Kurtosis1.825799214
Mean1115.040457
Median Absolute Deviation (MAD)0
Skewness1.955962919
Sum492241300
Variance1277.83325
MonotonicityNot monotonic
2024-06-18T20:12:17.256623image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1100 375059
85.0%
1200 66397
 
15.0%
ValueCountFrequency (%)
1100 375059
85.0%
1200 66397
 
15.0%
ValueCountFrequency (%)
1200 66397
 
15.0%
1100 375059
85.0%

SEQNO
Real number (ℝ)

Distinct23236
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015005188
Minimum2015000001
Maximum2015023236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.307292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2015000001
5-th percentile2015000417
Q12015002091
median2015004259
Q32015007180
95-th percentile2015013306
Maximum2015023236
Range23235
Interquartile range (IQR)5089

Descriptive statistics

Standard deviation4113.44251
Coefficient of variation (CV)2.041405419 × 10-6
Kurtosis1.767908301
Mean2015005188
Median Absolute Deviation (MAD)2421
Skewness1.267518437
Sum8.895361303 × 1014
Variance16920409.29
MonotonicityNot monotonic
2024-06-18T20:12:17.361125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2015000001 53
 
< 0.1%
2015000834 53
 
< 0.1%
2015001118 53
 
< 0.1%
2015001117 53
 
< 0.1%
2015001116 53
 
< 0.1%
2015001115 53
 
< 0.1%
2015001114 53
 
< 0.1%
2015001113 53
 
< 0.1%
2015001112 53
 
< 0.1%
2015001111 53
 
< 0.1%
Other values (23226) 440926
99.9%
ValueCountFrequency (%)
2015000001 53
< 0.1%
2015000002 53
< 0.1%
2015000003 53
< 0.1%
2015000004 53
< 0.1%
2015000005 53
< 0.1%
ValueCountFrequency (%)
2015023236 1
< 0.1%
2015023235 1
< 0.1%
2015023234 1
< 0.1%
2015023233 1
< 0.1%
2015023232 1
< 0.1%

_PSU
Real number (ℝ)

Distinct23236
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015005188
Minimum2015000001
Maximum2015023236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.413537image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2015000001
5-th percentile2015000417
Q12015002091
median2015004259
Q32015007180
95-th percentile2015013306
Maximum2015023236
Range23235
Interquartile range (IQR)5089

Descriptive statistics

Standard deviation4113.44251
Coefficient of variation (CV)2.041405419 × 10-6
Kurtosis1.767908301
Mean2015005188
Median Absolute Deviation (MAD)2421
Skewness1.267518437
Sum8.895361303 × 1014
Variance16920409.29
MonotonicityNot monotonic
2024-06-18T20:12:17.468002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2015000001 53
 
< 0.1%
2015000834 53
 
< 0.1%
2015001118 53
 
< 0.1%
2015001117 53
 
< 0.1%
2015001116 53
 
< 0.1%
2015001115 53
 
< 0.1%
2015001114 53
 
< 0.1%
2015001113 53
 
< 0.1%
2015001112 53
 
< 0.1%
2015001111 53
 
< 0.1%
Other values (23226) 440926
99.9%
ValueCountFrequency (%)
2015000001 53
< 0.1%
2015000002 53
< 0.1%
2015000003 53
< 0.1%
2015000004 53
< 0.1%
2015000005 53
< 0.1%
ValueCountFrequency (%)
2015023236 1
< 0.1%
2015023235 1
< 0.1%
2015023234 1
< 0.1%
2015023233 1
< 0.1%
2015023232 1
< 0.1%

CTELENUM
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing186811
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.509278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum254645
Variance0
MonotonicityIncreasing
2024-06-18T20:12:17.545133image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 254645
57.7%
(Missing) 186811
42.3%
ValueCountFrequency (%)
1 254645
57.7%
ValueCountFrequency (%)
1 254645
57.7%

PVTRESD1
Real number (ℝ)

MISSING  SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing186811
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean1.000176717
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.581440image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01329233127
Coefficient of variation (CV)0.01328998271
Kurtosis5653.888993
Mean1.000176717
Median Absolute Deviation (MAD)0
Skewness75.20534945
Sum254690
Variance0.0001766860706
MonotonicityNot monotonic
2024-06-18T20:12:17.619817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 254600
57.7%
2 45
 
< 0.1%
(Missing) 186811
42.3%
ValueCountFrequency (%)
1 254600
57.7%
2 45
 
< 0.1%
ValueCountFrequency (%)
2 45
 
< 0.1%
1 254600
57.7%

COLGHOUS
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)2.2%
Missing441411
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.656558image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum45
Variance0
MonotonicityIncreasing
2024-06-18T20:12:17.690168image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 45
 
< 0.1%
(Missing) 441411
> 99.9%
ValueCountFrequency (%)
1 45
< 0.1%
ValueCountFrequency (%)
1 45
< 0.1%

STATERES
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing186813
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.723629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum254643
Variance0
MonotonicityIncreasing
2024-06-18T20:12:17.760633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 254643
57.7%
(Missing) 186813
42.3%
ValueCountFrequency (%)
1 254643
57.7%
ValueCountFrequency (%)
1 254643
57.7%

CELLFON3
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing186810
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean1.545133244
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.795854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4979598017
Coefficient of variation (CV)0.322276285
Kurtosis-1.967155164
Mean1.545133244
Median Absolute Deviation (MAD)0
Skewness-0.1812740632
Sum393462
Variance0.2479639641
MonotonicityNot monotonic
2024-06-18T20:12:17.835264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 138816
31.4%
1 115830
26.2%
(Missing) 186810
42.3%
ValueCountFrequency (%)
1 115830
26.2%
2 138816
31.4%
ValueCountFrequency (%)
2 138816
31.4%
1 115830
26.2%

LADULT
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)4.4%
Missing441411
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.873916image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4954336943
Coefficient of variation (CV)0.3096460589
Kurtosis-1.908453304
Mean1.6
Median Absolute Deviation (MAD)0
Skewness-0.4224628401
Sum72
Variance0.2454545455
MonotonicityNot monotonic
2024-06-18T20:12:17.912240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 27
 
< 0.1%
1 18
 
< 0.1%
(Missing) 441411
> 99.9%
ValueCountFrequency (%)
1 18
< 0.1%
2 27
< 0.1%
ValueCountFrequency (%)
2 27
< 0.1%
1 18
< 0.1%

NUMADULT
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)< 0.1%
Missing186836
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean1.792675359
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:17.949776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7983693836
Coefficient of variation (CV)0.4453507878
Kurtosis7.930522382
Mean1.792675359
Median Absolute Deviation (MAD)0
Skewness1.600558627
Sum456451
Variance0.6373936727
MonotonicityNot monotonic
2024-06-18T20:12:17.991897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 127367
28.9%
1 96086
21.8%
3 22040
 
5.0%
4 7013
 
1.6%
5 1564
 
0.4%
6 396
 
0.1%
7 88
 
< 0.1%
8 29
 
< 0.1%
10 15
 
< 0.1%
9 9
 
< 0.1%
Other values (7) 13
 
< 0.1%
(Missing) 186836
42.3%
ValueCountFrequency (%)
1 96086
21.8%
2 127367
28.9%
3 22040
 
5.0%
4 7013
 
1.6%
5 1564
 
0.4%
ValueCountFrequency (%)
20 1
 
< 0.1%
18 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 4
< 0.1%

NUMMEN
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)< 0.1%
Missing186953
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean0.8011221872
Minimum5.397605347 × 10-79
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.031922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median1
Q31
95-th percentile2
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6203935304
Coefficient of variation (CV)0.7744056279
Kurtosis5.797543877
Mean0.8011221872
Median Absolute Deviation (MAD)0
Skewness0.8236632324
Sum203888
Variance0.3848881325
MonotonicityNot monotonic
2024-06-18T20:12:18.072147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 159499
36.1%
5.397605347 × 10-7974653
 
16.9%
2 17262
 
3.9%
3 2651
 
0.6%
4 360
 
0.1%
5 42
 
< 0.1%
6 18
 
< 0.1%
7 7
 
< 0.1%
8 5
 
< 0.1%
9 3
 
< 0.1%
Other values (2) 3
 
< 0.1%
(Missing) 186953
42.3%
ValueCountFrequency (%)
5.397605347 × 10-7974653
16.9%
1 159499
36.1%
2 17262
 
3.9%
3 2651
 
0.6%
4 360
 
0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
10 2
 
< 0.1%
9 3
< 0.1%
8 5
< 0.1%
7 7
< 0.1%

NUMWOMEN
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)< 0.1%
Missing186954
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean0.9911670635
Minimum5.397605347 × 10-79
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.112928image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q11
median1
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5251919575
Coefficient of variation (CV)0.5298722858
Kurtosis6.985480565
Mean0.9911670635
Median Absolute Deviation (MAD)0
Skewness1.003394125
Sum252254
Variance0.2758265923
MonotonicityNot monotonic
2024-06-18T20:12:18.152883image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 198302
44.9%
5.397605347 × 10-7931273
 
7.1%
2 21454
 
4.9%
3 2987
 
0.7%
4 401
 
0.1%
5 55
 
< 0.1%
6 19
 
< 0.1%
8 5
 
< 0.1%
7 3
 
< 0.1%
10 2
 
< 0.1%
(Missing) 186954
42.3%
ValueCountFrequency (%)
5.397605347 × 10-7931273
 
7.1%
1 198302
44.9%
2 21454
 
4.9%
3 2987
 
0.7%
4 401
 
0.1%
ValueCountFrequency (%)
10 2
 
< 0.1%
9 1
 
< 0.1%
8 5
 
< 0.1%
7 3
 
< 0.1%
6 19
< 0.1%

CTELNUM1
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing254645
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.189212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum186811
Variance0
MonotonicityIncreasing
2024-06-18T20:12:18.226357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 186811
42.3%
(Missing) 254645
57.7%
ValueCountFrequency (%)
1 186811
42.3%
ValueCountFrequency (%)
1 186811
42.3%

CELLFON2
Real number (ℝ)

MISSING  SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing254645
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean1.000005353
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.262555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002313655946
Coefficient of variation (CV)0.002313643561
Kurtosis186811
Mean1.000005353
Median Absolute Deviation (MAD)0
Skewness432.216381
Sum186812
Variance5.353003838 × 10-6
MonotonicityNot monotonic
2024-06-18T20:12:18.301622image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 186810
42.3%
2 1
 
< 0.1%
(Missing) 254645
57.7%
ValueCountFrequency (%)
1 186810
42.3%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
1 186810
42.3%

CADULT
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing254646
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean1.504202131
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.339575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49998368
Coefficient of variation (CV)0.3323912856
Kurtosis-1.999738859
Mean1.504202131
Median Absolute Deviation (MAD)0
Skewness-0.01680925064
Sum281000
Variance0.2499836803
MonotonicityNot monotonic
2024-06-18T20:12:18.377357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 94190
 
21.3%
1 92620
 
21.0%
(Missing) 254646
57.7%
ValueCountFrequency (%)
1 92620
21.0%
2 94190
21.3%
ValueCountFrequency (%)
2 94190
21.3%
1 92620
21.0%

PVTRESD2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing254645
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean1.005733067
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.414518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07549986467
Coefficient of variation (CV)0.07506948627
Kurtosis169.4370372
Mean1.005733067
Median Absolute Deviation (MAD)0
Skewness13.09332743
Sum187882
Variance0.005700229565
MonotonicityNot monotonic
2024-06-18T20:12:18.454649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 185740
42.1%
2 1071
 
0.2%
(Missing) 254645
57.7%
ValueCountFrequency (%)
1 185740
42.1%
2 1071
 
0.2%
ValueCountFrequency (%)
2 1071
 
0.2%
1 185740
42.1%

CCLGHOUS
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing440386
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.491914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum1070
Variance0
MonotonicityIncreasing
2024-06-18T20:12:18.526488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 1070
 
0.2%
(Missing) 440386
99.8%
ValueCountFrequency (%)
1 1070
0.2%
ValueCountFrequency (%)
1 1070
0.2%

CSTATE
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing254644
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean1.066548187
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.563280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2492385579
Coefficient of variation (CV)0.2336871047
Kurtosis10.09830025
Mean1.066548187
Median Absolute Deviation (MAD)0
Skewness3.478245555
Sum199244
Variance0.06211985875
MonotonicityNot monotonic
2024-06-18T20:12:18.602022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 174380
39.5%
2 12432
 
2.8%
(Missing) 254644
57.7%
ValueCountFrequency (%)
1 174380
39.5%
2 12432
 
2.8%
ValueCountFrequency (%)
2 12432
 
2.8%
1 174380
39.5%

LANDLINE
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing255389
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean1.63282581
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.638549image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5567164243
Coefficient of variation (CV)0.3409527341
Kurtosis32.90441357
Mean1.63282581
Median Absolute Deviation (MAD)0
Skewness2.508011568
Sum303815
Variance0.309933177
MonotonicityNot monotonic
2024-06-18T20:12:18.680258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 115386
26.1%
1 70342
 
15.9%
7 175
 
< 0.1%
9 164
 
< 0.1%
(Missing) 255389
57.9%
ValueCountFrequency (%)
1 70342
15.9%
2 115386
26.1%
7 175
 
< 0.1%
9 164
 
< 0.1%
ValueCountFrequency (%)
9 164
 
< 0.1%
7 175
 
< 0.1%
2 115386
26.1%
1 70342
15.9%

HHADULT
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)< 0.1%
Missing259825
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean2.42123316
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.727560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.114020568
Coefficient of variation (CV)2.112155348
Kurtosis312.4526503
Mean2.42123316
Median Absolute Deviation (MAD)0
Skewness17.28272844
Sum439771
Variance26.15320637
MonotonicityNot monotonic
2024-06-18T20:12:18.775913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 92181
 
20.9%
1 44793
 
10.1%
3 26192
 
5.9%
4 12196
 
2.8%
5 3824
 
0.9%
6 1174
 
0.3%
99 399
 
0.1%
7 338
 
0.1%
8 155
 
< 0.1%
77 144
 
< 0.1%
Other values (18) 235
 
0.1%
(Missing) 259825
58.9%
ValueCountFrequency (%)
1 44793
10.1%
2 92181
20.9%
3 26192
 
5.9%
4 12196
 
2.8%
5 3824
 
0.9%
ValueCountFrequency (%)
99 399
0.1%
77 144
 
< 0.1%
60 1
 
< 0.1%
43 1
 
< 0.1%
39 1
 
< 0.1%

GENHLTH
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.578789636
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.815280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.117584904
Coefficient of variation (CV)0.4333757544
Kurtosis0.765995468
Mean2.578789636
Median Absolute Deviation (MAD)1
Skewness0.5975869998
Sum1138417
Variance1.248996017
MonotonicityNot monotonic
2024-06-18T20:12:18.854572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 145065
32.9%
3 136975
31.0%
1 76032
17.2%
4 58962
13.4%
5 23175
 
5.2%
7 799
 
0.2%
9 446
 
0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
1 76032
17.2%
2 145065
32.9%
3 136975
31.0%
4 58962
13.4%
5 23175
 
5.2%
ValueCountFrequency (%)
9 446
 
0.1%
7 799
 
0.2%
5 23175
 
5.2%
4 58962
13.4%
3 136975
31.0%

PHYSHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.65511321
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.902706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q115
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)73

Descriptive statistics

Standard deviation37.05568367
Coefficient of variation (CV)0.610924318
Kurtosis-1.422672372
Mean60.65511321
Median Absolute Deviation (MAD)0
Skewness-0.6840951655
Sum26776503
Variance1373.123692
MonotonicityNot monotonic
2024-06-18T20:12:18.950815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 274143
62.1%
30 34225
 
7.8%
2 24369
 
5.5%
1 18245
 
4.1%
3 14242
 
3.2%
5 12472
 
2.8%
10 9217
 
2.1%
15 8356
 
1.9%
7 7958
 
1.8%
77 7664
 
1.7%
Other values (23) 30564
 
6.9%
ValueCountFrequency (%)
1 18245
4.1%
2 24369
5.5%
3 14242
3.2%
4 7562
 
1.7%
5 12472
2.8%
ValueCountFrequency (%)
99 2078
 
0.5%
88 274143
62.1%
77 7664
 
1.7%
30 34225
 
7.8%
29 383
 
0.1%

MENTHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.67917754
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:18.997789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q128
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)60

Descriptive statistics

Standard deviation35.84308504
Coefficient of variation (CV)0.5541672978
Kurtosis-1.030505851
Mean64.67917754
Median Absolute Deviation (MAD)0
Skewness-0.9364616223
Sum28553011
Variance1284.726745
MonotonicityNot monotonic
2024-06-18T20:12:19.049873image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 301076
68.2%
30 22184
 
5.0%
2 21229
 
4.8%
5 14749
 
3.3%
1 13658
 
3.1%
3 12253
 
2.8%
10 10684
 
2.4%
15 9795
 
2.2%
4 6259
 
1.4%
20 5944
 
1.3%
Other values (23) 23625
 
5.4%
ValueCountFrequency (%)
1 13658
3.1%
2 21229
4.8%
3 12253
2.8%
4 6259
 
1.4%
5 14749
3.3%
ValueCountFrequency (%)
99 2204
 
0.5%
88 301076
68.2%
77 5204
 
1.2%
30 22184
 
5.0%
29 333
 
0.1%

POORHLTH
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)< 0.1%
Missing214492
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean55.76895895
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.098212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)78

Descriptive statistics

Standard deviation38.07007947
Coefficient of variation (CV)0.6826392349
Kurtosis-1.726105676
Mean55.76895895
Median Absolute Deviation (MAD)0
Skewness-0.4019918434
Sum12657546
Variance1449.330951
MonotonicityNot monotonic
2024-06-18T20:12:19.146655image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 125838
28.5%
30 19762
 
4.5%
2 12299
 
2.8%
1 10931
 
2.5%
5 8112
 
1.8%
3 7772
 
1.8%
15 7217
 
1.6%
10 6863
 
1.6%
20 4762
 
1.1%
4 4399
 
1.0%
Other values (23) 19009
 
4.3%
(Missing) 214492
48.6%
ValueCountFrequency (%)
1 10931
2.5%
2 12299
2.8%
3 7772
1.8%
4 4399
 
1.0%
5 8112
1.8%
ValueCountFrequency (%)
99 1250
 
0.3%
88 125838
28.5%
77 3782
 
0.9%
30 19762
 
4.5%
29 189
 
< 0.1%

HLTHPLN1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.101201479
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.186095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5122608411
Coefficient of variation (CV)0.4651835753
Kurtosis140.4986173
Mean1.101201479
Median Absolute Deviation (MAD)0
Skewness10.56799883
Sum486132
Variance0.2624111693
MonotonicityNot monotonic
2024-06-18T20:12:19.225581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 407556
92.3%
2 32060
 
7.3%
7 1052
 
0.2%
9 788
 
0.2%
ValueCountFrequency (%)
1 407556
92.3%
2 32060
 
7.3%
7 1052
 
0.2%
9 788
 
0.2%
ValueCountFrequency (%)
9 788
 
0.2%
7 1052
 
0.2%
2 32060
 
7.3%
1 407556
92.3%

PERSDOC2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.39521266
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.264868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8334293786
Coefficient of variation (CV)0.5973493522
Kurtosis15.29418464
Mean1.39521266
Median Absolute Deviation (MAD)0
Skewness2.9699389
Sum615925
Variance0.6946045292
MonotonicityNot monotonic
2024-06-18T20:12:19.307031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 341386
77.3%
3 63737
 
14.4%
2 34477
 
7.8%
7 1165
 
0.3%
9 691
 
0.2%
ValueCountFrequency (%)
1 341386
77.3%
2 34477
 
7.8%
3 63737
 
14.4%
7 1165
 
0.3%
9 691
 
0.2%
ValueCountFrequency (%)
9 691
 
0.2%
7 1165
 
0.3%
3 63737
 
14.4%
2 34477
 
7.8%
1 341386
77.3%

MEDCOST
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.91606619
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.347844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4154135019
Coefficient of variation (CV)0.2168054027
Kurtosis94.85914697
Mean1.91606619
Median Absolute Deviation (MAD)0
Skewness5.659983652
Sum845857
Variance0.1725683776
MonotonicityNot monotonic
2024-06-18T20:12:19.386149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 396748
89.9%
1 43514
 
9.9%
7 945
 
0.2%
9 248
 
0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
1 43514
 
9.9%
2 396748
89.9%
7 945
 
0.2%
9 248
 
0.1%
ValueCountFrequency (%)
9 248
 
0.1%
7 945
 
0.2%
2 396748
89.9%
1 43514
 
9.9%

CHECKUP1
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.574185364
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.424324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.249199063
Coefficient of variation (CV)0.7935527109
Kurtosis10.37400707
Mean1.574185364
Median Absolute Deviation (MAD)0
Skewness2.988084454
Sum694932
Variance1.5604983
MonotonicityNot monotonic
2024-06-18T20:12:19.466753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 325432
73.7%
2 50529
 
11.4%
3 28570
 
6.5%
4 26967
 
6.1%
7 5453
 
1.2%
8 3843
 
0.9%
9 661
 
0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
1 325432
73.7%
2 50529
 
11.4%
3 28570
 
6.5%
4 26967
 
6.1%
7 5453
 
1.2%
ValueCountFrequency (%)
9 661
 
0.1%
8 3843
 
0.9%
7 5453
 
1.2%
4 26967
6.1%
3 28570
6.5%

BPHIGH4
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.209742782
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.507740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.039022492
Coefficient of variation (CV)0.4702006496
Kurtosis0.9853867027
Mean2.209742782
Median Absolute Deviation (MAD)0
Skewness0.17629613
Sum975502
Variance1.079567738
MonotonicityNot monotonic
2024-06-18T20:12:19.547720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 254318
57.6%
1 178188
40.4%
4 4312
 
1.0%
2 3271
 
0.7%
7 862
 
0.2%
9 504
 
0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
1 178188
40.4%
2 3271
 
0.7%
3 254318
57.6%
4 4312
 
1.0%
7 862
 
0.2%
ValueCountFrequency (%)
9 504
 
0.1%
7 862
 
0.2%
4 4312
 
1.0%
3 254318
57.6%
2 3271
 
0.7%

BPMEDS
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing263268
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean1.17332817
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.587282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4544482988
Coefficient of variation (CV)0.3873155953
Kurtosis69.02523009
Mean1.17332817
Median Absolute Deviation (MAD)0
Skewness5.785535568
Sum209073
Variance0.2065232563
MonotonicityNot monotonic
2024-06-18T20:12:19.628493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 149034
33.8%
2 28833
 
6.5%
7 258
 
0.1%
9 63
 
< 0.1%
(Missing) 263268
59.6%
ValueCountFrequency (%)
1 149034
33.8%
2 28833
 
6.5%
7 258
 
0.1%
9 63
 
< 0.1%
ValueCountFrequency (%)
9 63
 
< 0.1%
7 258
 
0.1%
2 28833
 
6.5%
1 149034
33.8%

BLOODCHO
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.242295948
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.668262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9163990893
Coefficient of variation (CV)0.7376656833
Kurtosis32.16192138
Mean1.242295948
Median Absolute Deviation (MAD)0
Skewness5.538468815
Sum548419
Variance0.8397872909
MonotonicityNot monotonic
2024-06-18T20:12:19.706844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 382302
86.6%
2 49673
 
11.3%
7 9279
 
2.1%
9 202
 
< 0.1%
ValueCountFrequency (%)
1 382302
86.6%
2 49673
 
11.3%
7 9279
 
2.1%
9 202
 
< 0.1%
ValueCountFrequency (%)
9 202
 
< 0.1%
7 9279
 
2.1%
2 49673
 
11.3%
1 382302
86.6%

CHOLCHK
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing59154
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean1.449354175
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.745037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.036134769
Coefficient of variation (CV)0.7148941141
Kurtosis12.71225599
Mean1.449354175
Median Absolute Deviation (MAD)0
Skewness3.230818828
Sum554091
Variance1.07357526
MonotonicityNot monotonic
2024-06-18T20:12:19.787234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 293355
66.5%
2 43596
 
9.9%
3 25972
 
5.9%
4 13523
 
3.1%
7 5584
 
1.3%
9 272
 
0.1%
(Missing) 59154
 
13.4%
ValueCountFrequency (%)
1 293355
66.5%
2 43596
 
9.9%
3 25972
 
5.9%
4 13523
 
3.1%
7 5584
 
1.3%
ValueCountFrequency (%)
9 272
 
0.1%
7 5584
 
1.3%
4 13523
 
3.1%
3 25972
5.9%
2 43596
9.9%

TOLDHI2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing59154
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean1.630875591
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.825996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7402354553
Coefficient of variation (CV)0.453888365
Kurtosis32.70608384
Mean1.630875591
Median Absolute Deviation (MAD)0
Skewness4.195595391
Sum623487
Variance0.5479485293
MonotonicityNot monotonic
2024-06-18T20:12:19.866962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 218771
49.6%
1 159970
36.2%
7 3037
 
0.7%
9 524
 
0.1%
(Missing) 59154
 
13.4%
ValueCountFrequency (%)
1 159970
36.2%
2 218771
49.6%
7 3037
 
0.7%
9 524
 
0.1%
ValueCountFrequency (%)
9 524
 
0.1%
7 3037
 
0.7%
2 218771
49.6%
1 159970
36.2%

CVDINFR4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.968411348
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.905980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4396776217
Coefficient of variation (CV)0.223366738
Kurtosis105.8391423
Mean1.968411348
Median Absolute Deviation (MAD)0
Skewness8.072362542
Sum868967
Variance0.1933164111
MonotonicityNot monotonic
2024-06-18T20:12:19.945488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 413755
93.7%
1 25472
 
5.8%
7 2038
 
0.5%
9 191
 
< 0.1%
ValueCountFrequency (%)
1 25472
 
5.8%
2 413755
93.7%
7 2038
 
0.5%
9 191
 
< 0.1%
ValueCountFrequency (%)
9 191
 
< 0.1%
7 2038
 
0.5%
2 413755
93.7%
1 25472
 
5.8%

CVDCRHD4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.986952237
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:19.983219image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5342790271
Coefficient of variation (CV)0.2688937444
Kurtosis75.84563029
Mean1.986952237
Median Absolute Deviation (MAD)0
Skewness7.511031838
Sum877150
Variance0.2854540788
MonotonicityNot monotonic
2024-06-18T20:12:20.022858image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 412349
93.4%
1 25290
 
5.7%
7 3591
 
0.8%
9 225
 
0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
1 25290
 
5.7%
2 412349
93.4%
7 3591
 
0.8%
9 225
 
0.1%
ValueCountFrequency (%)
9 225
 
0.1%
7 3591
 
0.8%
2 412349
93.4%
1 25290
 
5.7%

CVDSTRK3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.973879617
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.061058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.348688782
Coefficient of variation (CV)0.1766514934
Kurtosis165.3633124
Mean1.973879617
Median Absolute Deviation (MAD)0
Skewness9.542254101
Sum871381
Variance0.1215838667
MonotonicityNot monotonic
2024-06-18T20:12:20.100224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 421897
95.6%
1 18269
 
4.1%
7 1146
 
0.3%
9 144
 
< 0.1%
ValueCountFrequency (%)
1 18269
 
4.1%
2 421897
95.6%
7 1146
 
0.3%
9 144
 
< 0.1%
ValueCountFrequency (%)
9 144
 
< 0.1%
7 1146
 
0.3%
2 421897
95.6%
1 18269
 
4.1%

ASTHMA3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.883046102
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.137216image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.462582488
Coefficient of variation (CV)0.2456564858
Kurtosis64.02966919
Mean1.883046102
Median Absolute Deviation (MAD)0
Skewness4.469224511
Sum831282
Variance0.2139825582
MonotonicityNot monotonic
2024-06-18T20:12:20.177028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 380554
86.2%
1 59409
 
13.5%
7 1336
 
0.3%
9 157
 
< 0.1%
ValueCountFrequency (%)
1 59409
 
13.5%
2 380554
86.2%
7 1336
 
0.3%
9 157
 
< 0.1%
ValueCountFrequency (%)
9 157
 
< 0.1%
7 1336
 
0.3%
2 380554
86.2%
1 59409
 
13.5%

ASTHNOW
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing382047
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1.480566917
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.214387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08818526
Coefficient of variation (CV)0.7349787756
Kurtosis18.50434778
Mean1.480566917
Median Absolute Deviation (MAD)0
Skewness4.108982979
Sum87959
Variance1.18414716
MonotonicityNot monotonic
2024-06-18T20:12:20.255311image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 40000
 
9.1%
2 17600
 
4.0%
7 1761
 
0.4%
9 48
 
< 0.1%
(Missing) 382047
86.5%
ValueCountFrequency (%)
1 40000
9.1%
2 17600
4.0%
7 1761
 
0.4%
9 48
 
< 0.1%
ValueCountFrequency (%)
9 48
 
< 0.1%
7 1761
 
0.4%
2 17600
4.0%
1 40000
9.1%

CHCSCNCR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.920329365
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.293628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4098908304
Coefficient of variation (CV)0.2134481916
Kurtosis89.6424736
Mean1.920329365
Median Absolute Deviation (MAD)0
Skewness5.504404719
Sum847739
Variance0.1680104928
MonotonicityNot monotonic
2024-06-18T20:12:20.333555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 398420
90.3%
1 41776
 
9.5%
7 1104
 
0.3%
9 155
 
< 0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
1 41776
 
9.5%
2 398420
90.3%
7 1104
 
0.3%
9 155
 
< 0.1%
ValueCountFrequency (%)
9 155
 
< 0.1%
7 1104
 
0.3%
2 398420
90.3%
1 41776
 
9.5%

CHCOCNCR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.91474575
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.371500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.403817315
Coefficient of variation (CV)0.210898661
Kurtosis92.0439181
Mean1.91474575
Median Absolute Deviation (MAD)0
Skewness5.267673346
Sum845276
Variance0.1630684239
MonotonicityNot monotonic
2024-06-18T20:12:20.409872image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 396932
89.9%
1 43441
 
9.8%
7 888
 
0.2%
9 195
 
< 0.1%
ValueCountFrequency (%)
1 43441
 
9.8%
2 396932
89.9%
7 888
 
0.2%
9 195
 
< 0.1%
ValueCountFrequency (%)
9 195
 
< 0.1%
7 888
 
0.2%
2 396932
89.9%
1 43441
 
9.8%

CHCCOPD1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.947197456
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.447020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4703126028
Coefficient of variation (CV)0.241533082
Kurtosis84.41415126
Mean1.947197456
Median Absolute Deviation (MAD)0
Skewness6.834502959
Sum859602
Variance0.2211939443
MonotonicityNot monotonic
2024-06-18T20:12:20.486791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 403586
91.4%
1 35501
 
8.0%
7 2196
 
0.5%
9 173
 
< 0.1%
ValueCountFrequency (%)
1 35501
 
8.0%
2 403586
91.4%
7 2196
 
0.5%
9 173
 
< 0.1%
ValueCountFrequency (%)
9 173
 
< 0.1%
7 2196
 
0.5%
2 403586
91.4%
1 35501
 
8.0%

HAVARTH3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.697418763
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.525001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6442137248
Coefficient of variation (CV)0.3795255118
Kurtosis32.93241636
Mean1.697418763
Median Absolute Deviation (MAD)0
Skewness3.655839718
Sum749334
Variance0.4150113232
MonotonicityNot monotonic
2024-06-18T20:12:20.563160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 290621
65.8%
1 148036
33.5%
7 2563
 
0.6%
9 235
 
0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
1 148036
33.5%
2 290621
65.8%
7 2563
 
0.6%
9 235
 
0.1%
ValueCountFrequency (%)
9 235
 
0.1%
7 2563
 
0.6%
2 290621
65.8%
1 148036
33.5%

ADDEPEV2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.837521746
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.600410image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5630872479
Coefficient of variation (CV)0.3064384131
Kurtosis56.39093858
Mean1.837521746
Median Absolute Deviation (MAD)0
Skewness4.799072548
Sum811185
Variance0.3170672487
MonotonicityNot monotonic
2024-06-18T20:12:20.639772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 355471
80.5%
1 83788
 
19.0%
7 1659
 
0.4%
9 538
 
0.1%
ValueCountFrequency (%)
1 83788
 
19.0%
2 355471
80.5%
7 1659
 
0.4%
9 538
 
0.1%
ValueCountFrequency (%)
9 538
 
0.1%
7 1659
 
0.4%
2 355471
80.5%
1 83788
 
19.0%

CHCKIDNY
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.983309775
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.678578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3680720881
Coefficient of variation (CV)0.1855847698
Kurtosis166.7267257
Mean1.983309775
Median Absolute Deviation (MAD)0
Skewness10.38016545
Sum875544
Variance0.135477062
MonotonicityNot monotonic
2024-06-18T20:12:20.717666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 424222
96.1%
1 15657
 
3.5%
7 1375
 
0.3%
9 202
 
< 0.1%
ValueCountFrequency (%)
1 15657
 
3.5%
2 424222
96.1%
7 1375
 
0.3%
9 202
 
< 0.1%
ValueCountFrequency (%)
9 202
 
< 0.1%
7 1375
 
0.3%
2 424222
96.1%
1 15657
 
3.5%

DIABETE3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.757888227
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.755537image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7233186065
Coefficient of variation (CV)0.2622726329
Kurtosis5.724172855
Mean2.757888227
Median Absolute Deviation (MAD)0
Skewness-1.197105535
Sum1217467
Variance0.5231898065
MonotonicityNot monotonic
2024-06-18T20:12:20.797325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 372104
84.3%
1 57256
 
13.0%
4 7690
 
1.7%
2 3608
 
0.8%
7 598
 
0.1%
9 193
 
< 0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
1 57256
 
13.0%
2 3608
 
0.8%
3 372104
84.3%
4 7690
 
1.7%
7 598
 
0.1%
ValueCountFrequency (%)
9 193
 
< 0.1%
7 598
 
0.1%
4 7690
 
1.7%
3 372104
84.3%
2 3608
 
0.8%

DIABAGE2
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)0.2%
Missing384203
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean54.59547971
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.848577image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25
Q144
median54
Q364
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.32376737
Coefficient of variation (CV)0.3356279212
Kurtosis0.6910539109
Mean54.59547971
Median Absolute Deviation (MAD)10
Skewness0.3703996822
Sum3125755
Variance335.7604505
MonotonicityNot monotonic
2024-06-18T20:12:20.903944image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 4857
 
1.1%
60 3796
 
0.9%
98 3630
 
0.8%
55 3451
 
0.8%
40 2826
 
0.6%
45 2566
 
0.6%
65 2414
 
0.5%
70 1651
 
0.4%
58 1404
 
0.3%
52 1329
 
0.3%
Other values (89) 29329
 
6.6%
(Missing) 384203
87.0%
ValueCountFrequency (%)
1 53
< 0.1%
2 30
< 0.1%
3 35
< 0.1%
4 37
< 0.1%
5 47
< 0.1%
ValueCountFrequency (%)
99 267
 
0.1%
98 3630
0.8%
97 1
 
< 0.1%
96 1
 
< 0.1%
95 4
 
< 0.1%

SEX
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.57654217
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:20.946147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4941071233
Coefficient of variation (CV)0.3134119295
Kurtosis-1.904019236
Mean1.57654217
Median Absolute Deviation (MAD)0
Skewness-0.3098215456
Sum695974
Variance0.2441418493
MonotonicityNot monotonic
2024-06-18T20:12:20.984397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 254518
57.7%
1 186938
42.3%
ValueCountFrequency (%)
1 186938
42.3%
2 254518
57.7%
ValueCountFrequency (%)
2 254518
57.7%
1 186938
42.3%

MARITAL
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.26365255
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.029250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.687843695
Coefficient of variation (CV)0.745628429
Kurtosis0.7186770641
Mean2.26365255
Median Absolute Deviation (MAD)0
Skewness1.219830121
Sum999303
Variance2.848816337
MonotonicityNot monotonic
2024-06-18T20:12:21.091109image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 233210
52.8%
5 67668
 
15.3%
2 59406
 
13.5%
3 56481
 
12.8%
6 12627
 
2.9%
4 8968
 
2.0%
9 3096
 
0.7%
ValueCountFrequency (%)
1 233210
52.8%
2 59406
 
13.5%
3 56481
 
12.8%
4 8968
 
2.0%
5 67668
 
15.3%
ValueCountFrequency (%)
9 3096
 
0.7%
6 12627
 
2.9%
5 67668
15.3%
4 8968
 
2.0%
3 56481
12.8%

EDUCA
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.920093962
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.136970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.076198201
Coefficient of variation (CV)0.2187352943
Kurtosis0.4997219364
Mean4.920093962
Median Absolute Deviation (MAD)1
Skewness-0.4427598077
Sum2172005
Variance1.158202568
MonotonicityNot monotonic
2024-06-18T20:12:21.180068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 161631
36.6%
4 123227
27.9%
5 120528
27.3%
3 22463
 
5.1%
2 11187
 
2.5%
9 1811
 
0.4%
1 609
 
0.1%
ValueCountFrequency (%)
1 609
 
0.1%
2 11187
 
2.5%
3 22463
 
5.1%
4 123227
27.9%
5 120528
27.3%
ValueCountFrequency (%)
9 1811
 
0.4%
6 161631
36.6%
5 120528
27.3%
4 123227
27.9%
3 22463
 
5.1%

RENTHOM1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.375942336
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.219401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8266109305
Coefficient of variation (CV)0.6007598638
Kurtosis40.80883136
Mean1.375942336
Median Absolute Deviation (MAD)0
Skewness5.186374576
Sum607418
Variance0.6832856304
MonotonicityNot monotonic
2024-06-18T20:12:21.259120image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 316644
71.7%
2 101044
 
22.9%
3 20625
 
4.7%
9 2405
 
0.5%
7 738
 
0.2%
ValueCountFrequency (%)
1 316644
71.7%
2 101044
 
22.9%
3 20625
 
4.7%
7 738
 
0.2%
9 2405
 
0.5%
ValueCountFrequency (%)
9 2405
 
0.5%
7 738
 
0.2%
3 20625
 
4.7%
2 101044
 
22.9%
1 316644
71.7%

NUMHHOL2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing186811
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean1.972927016
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.296767image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4654851809
Coefficient of variation (CV)0.2359363408
Kurtosis161.231958
Mean1.972927016
Median Absolute Deviation (MAD)0
Skewness10.67317532
Sum502396
Variance0.2166764536
MonotonicityNot monotonic
2024-06-18T20:12:21.335914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 240419
54.5%
1 13250
 
3.0%
9 738
 
0.2%
7 238
 
0.1%
(Missing) 186811
42.3%
ValueCountFrequency (%)
1 13250
 
3.0%
2 240419
54.5%
7 238
 
0.1%
9 738
 
0.2%
ValueCountFrequency (%)
9 738
 
0.2%
7 238
 
0.1%
2 240419
54.5%
1 13250
 
3.0%

NUMPHON2
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.1%
Missing428206
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean1.73154717
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.374050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.215049953
Coefficient of variation (CV)0.7017134582
Kurtosis17.32209754
Mean1.73154717
Median Absolute Deviation (MAD)0
Skewness3.718828247
Sum22943
Variance1.476346387
MonotonicityNot monotonic
2024-06-18T20:12:21.416902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 6680
 
1.5%
2 5340
 
1.2%
3 707
 
0.2%
7 161
 
< 0.1%
9 158
 
< 0.1%
4 137
 
< 0.1%
5 37
 
< 0.1%
6 30
 
< 0.1%
(Missing) 428206
97.0%
ValueCountFrequency (%)
1 6680
1.5%
2 5340
1.2%
3 707
 
0.2%
4 137
 
< 0.1%
5 37
 
< 0.1%
ValueCountFrequency (%)
9 158
< 0.1%
7 161
< 0.1%
6 30
 
< 0.1%
5 37
 
< 0.1%
4 137
< 0.1%

CPDEMO1
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing186811
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean1.228148992
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.456446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6668819823
Coefficient of variation (CV)0.5429976223
Kurtosis83.00336919
Mean1.228148992
Median Absolute Deviation (MAD)0
Skewness7.720529426
Sum312742
Variance0.4447315783
MonotonicityNot monotonic
2024-06-18T20:12:21.496127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 205310
46.5%
2 48035
 
10.9%
9 1131
 
0.3%
7 169
 
< 0.1%
(Missing) 186811
42.3%
ValueCountFrequency (%)
1 205310
46.5%
2 48035
 
10.9%
7 169
 
< 0.1%
9 1131
 
0.3%
ValueCountFrequency (%)
9 1131
 
0.3%
7 169
 
< 0.1%
2 48035
 
10.9%
1 205310
46.5%

VETERAN3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.881476951
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.534297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4480507051
Coefficient of variation (CV)0.2381377592
Kurtosis102.0774009
Mean1.881476951
Median Absolute Deviation (MAD)0
Skewness5.665686161
Sum830578
Variance0.2007494343
MonotonicityNot monotonic
2024-06-18T20:12:21.572829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 382772
86.7%
1 57842
 
13.1%
9 670
 
0.2%
7 166
 
< 0.1%
(Missing) 6
 
< 0.1%
ValueCountFrequency (%)
1 57842
 
13.1%
2 382772
86.7%
7 166
 
< 0.1%
9 670
 
0.2%
ValueCountFrequency (%)
9 670
 
0.2%
7 166
 
< 0.1%
2 382772
86.7%
1 57842
 
13.1%

EMPLOY1
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.942768928
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.613309image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.87176759
Coefficient of variation (CV)0.7283631484
Kurtosis-1.769656993
Mean3.942768928
Median Absolute Deviation (MAD)2
Skewness0.163288453
Sum1740559
Variance8.247049092
MonotonicityNot monotonic
2024-06-18T20:12:21.654951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 179163
40.6%
7 132648
30.0%
2 36609
 
8.3%
8 31977
 
7.2%
5 27107
 
6.1%
6 11551
 
2.6%
3 9594
 
2.2%
4 9012
 
2.0%
9 3795
 
0.9%
ValueCountFrequency (%)
1 179163
40.6%
2 36609
 
8.3%
3 9594
 
2.2%
4 9012
 
2.0%
5 27107
 
6.1%
ValueCountFrequency (%)
9 3795
 
0.9%
8 31977
 
7.2%
7 132648
30.0%
6 11551
 
2.6%
5 27107
 
6.1%

CHILDREN
Real number (ℝ)

Distinct26
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean65.90665102
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.701102image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)84

Descriptive statistics

Standard deviation37.70854639
Coefficient of variation (CV)0.5721508498
Kurtosis-0.7723883042
Mean65.90665102
Median Absolute Deviation (MAD)0
Skewness-1.105418147
Sum29094557
Variance1421.934471
MonotonicityNot monotonic
2024-06-18T20:12:21.747898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
88 324000
73.4%
1 46376
 
10.5%
2 40614
 
9.2%
3 17313
 
3.9%
4 6371
 
1.4%
99 3632
 
0.8%
5 1997
 
0.5%
6 716
 
0.2%
7 241
 
0.1%
8 96
 
< 0.1%
Other values (16) 95
 
< 0.1%
ValueCountFrequency (%)
1 46376
10.5%
2 40614
9.2%
3 17313
 
3.9%
4 6371
 
1.4%
5 1997
 
0.5%
ValueCountFrequency (%)
99 3632
 
0.8%
88 324000
73.4%
77 1
 
< 0.1%
52 1
 
< 0.1%
41 1
 
< 0.1%

INCOME2
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing3301
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean20.2530132
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.788667image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q38
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation31.85350668
Coefficient of variation (CV)1.572778646
Kurtosis1.341030315
Mean20.2530132
Median Absolute Deviation (MAD)1
Skewness1.78466
Sum8873959
Variance1014.645888
MonotonicityNot monotonic
2024-06-18T20:12:21.829184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8 115312
26.1%
7 58130
13.2%
6 52052
11.8%
99 40946
 
9.3%
5 39235
 
8.9%
77 35258
 
8.0%
4 32377
 
7.3%
3 26797
 
6.1%
2 19599
 
4.4%
1 18449
 
4.2%
(Missing) 3301
 
0.7%
ValueCountFrequency (%)
1 18449
4.2%
2 19599
4.4%
3 26797
6.1%
4 32377
7.3%
5 39235
8.9%
ValueCountFrequency (%)
99 40946
 
9.3%
77 35258
 
8.0%
8 115312
26.1%
7 58130
13.2%
6 52052
11.8%

INTERNET
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing4310
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1.233818907
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.864789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5751523567
Coefficient of variation (CV)0.466156219
Kurtosis79.65285974
Mean1.233818907
Median Absolute Deviation (MAD)0
Skewness6.786192936
Sum539359
Variance0.3308002334
MonotonicityNot monotonic
2024-06-18T20:12:21.903839image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 343791
77.9%
2 91959
 
20.8%
9 939
 
0.2%
7 457
 
0.1%
(Missing) 4310
 
1.0%
ValueCountFrequency (%)
1 343791
77.9%
2 91959
 
20.8%
7 457
 
0.1%
9 939
 
0.2%
ValueCountFrequency (%)
9 939
 
0.2%
7 457
 
0.1%
2 91959
 
20.8%
1 343791
77.9%

WEIGHT2
Real number (ℝ)

MISSING 

Distinct573
Distinct (%)0.1%
Missing5315
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean733.204388
Minimum50
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:21.953101image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile120
Q1149
median175
Q3210
95-th percentile7777
Maximum9999
Range9949
Interquartile range (IQR)61

Descriptive statistics

Standard deviation2197.377381
Coefficient of variation (CV)2.996950669
Kurtosis12.25669026
Mean733.204388
Median Absolute Deviation (MAD)30
Skewness3.751785229
Sum319780495
Variance4828467.356
MonotonicityNot monotonic
2024-06-18T20:12:22.006891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 21659
 
4.9%
180 20529
 
4.7%
150 20334
 
4.6%
160 18937
 
4.3%
9999 17904
 
4.1%
170 17172
 
3.9%
140 14784
 
3.3%
190 14201
 
3.2%
175 12026
 
2.7%
130 11869
 
2.7%
Other values (563) 266726
60.4%
ValueCountFrequency (%)
50 8
< 0.1%
52 1
 
< 0.1%
53 1
 
< 0.1%
55 5
< 0.1%
57 1
 
< 0.1%
ValueCountFrequency (%)
9999 17904
4.1%
9501 1
 
< 0.1%
9280 1
 
< 0.1%
9265 1
 
< 0.1%
9260 1
 
< 0.1%

HEIGHT3
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)< 0.1%
Missing5911
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean742.1832256
Minimum200
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.058729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile500
Q1504
median507
Q3510
95-th percentile603
Maximum9999
Range9799
Interquartile range (IQR)6

Descriptive statistics

Standard deviation1380.498142
Coefficient of variation (CV)1.860050315
Kurtosis35.28581952
Mean742.1832256
Median Absolute Deviation (MAD)3
Skewness6.066767999
Sum323254193
Variance1905775.121
MonotonicityNot monotonic
2024-06-18T20:12:22.113072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
504 39560
 
9.0%
506 39325
 
8.9%
505 34922
 
7.9%
507 34379
 
7.8%
503 31739
 
7.2%
508 31567
 
7.2%
502 31072
 
7.0%
510 29575
 
6.7%
509 27725
 
6.3%
600 27000
 
6.1%
Other values (141) 108681
24.6%
ValueCountFrequency (%)
200 1
< 0.1%
204 1
< 0.1%
205 1
< 0.1%
206 1
< 0.1%
208 1
< 0.1%
ValueCountFrequency (%)
9999 5732
1.3%
9503 1
 
< 0.1%
9211 6
 
< 0.1%
9210 7
 
< 0.1%
9209 5
 
< 0.1%

PREGNANT
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing376504
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean2.009591698
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.151912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5784783966
Coefficient of variation (CV)0.2878586715
Kurtosis109.8033169
Mean2.009591698
Median Absolute Deviation (MAD)0
Skewness9.689248489
Sum130527
Variance0.3346372553
MonotonicityNot monotonic
2024-06-18T20:12:22.191570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 62027
 
14.1%
1 2430
 
0.6%
9 289
 
0.1%
7 206
 
< 0.1%
(Missing) 376504
85.3%
ValueCountFrequency (%)
1 2430
 
0.6%
2 62027
14.1%
7 206
 
< 0.1%
9 289
 
0.1%
ValueCountFrequency (%)
9 289
 
0.1%
7 206
 
< 0.1%
2 62027
14.1%
1 2430
 
0.6%

QLACTLM2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing9338
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.795576671
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.230122image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6790981694
Coefficient of variation (CV)0.3782061665
Kurtosis50.16092768
Mean1.795576671
Median Absolute Deviation (MAD)0
Skewness5.144971018
Sum775901
Variance0.4611743237
MonotonicityNot monotonic
2024-06-18T20:12:22.268476image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 322059
73.0%
1 106863
 
24.2%
7 1922
 
0.4%
9 1274
 
0.3%
(Missing) 9338
 
2.1%
ValueCountFrequency (%)
1 106863
 
24.2%
2 322059
73.0%
7 1922
 
0.4%
9 1274
 
0.3%
ValueCountFrequency (%)
9 1274
 
0.3%
7 1922
 
0.4%
2 322059
73.0%
1 106863
 
24.2%

USEEQUIP
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing10430
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.899026973
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.305682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4632731485
Coefficient of variation (CV)0.2439529059
Kurtosis108.9393214
Mean1.899026973
Median Absolute Deviation (MAD)0
Skewness6.643267515
Sum818530
Variance0.2146220101
MonotonicityNot monotonic
2024-06-18T20:12:22.343832image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 379292
85.9%
1 50622
 
11.5%
9 770
 
0.2%
7 342
 
0.1%
(Missing) 10430
 
2.4%
ValueCountFrequency (%)
1 50622
 
11.5%
2 379292
85.9%
7 342
 
0.1%
9 770
 
0.2%
ValueCountFrequency (%)
9 770
 
0.2%
7 342
 
0.1%
2 379292
85.9%
1 50622
 
11.5%

BLIND
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing11154
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean1.974155361
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.380099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4415166929
Coefficient of variation (CV)0.2236484026
Kurtosis158.9268732
Mean1.974155361
Median Absolute Deviation (MAD)0
Skewness10.37501422
Sum849483
Variance0.1949369901
MonotonicityNot monotonic
2024-06-18T20:12:22.418596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 407333
92.3%
1 21282
 
4.8%
9 863
 
0.2%
7 824
 
0.2%
(Missing) 11154
 
2.5%
ValueCountFrequency (%)
1 21282
 
4.8%
2 407333
92.3%
7 824
 
0.2%
9 863
 
0.2%
ValueCountFrequency (%)
9 863
 
0.2%
7 824
 
0.2%
2 407333
92.3%
1 21282
 
4.8%

DECIDE
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing11740
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean1.940891193
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.455566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5670656455
Coefficient of variation (CV)0.2921676637
Kurtosis83.17564144
Mean1.940891193
Median Absolute Deviation (MAD)0
Skewness7.298682878
Sum834032
Variance0.3215634463
MonotonicityNot monotonic
2024-06-18T20:12:22.494069image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 384762
87.2%
1 42039
 
9.5%
7 1883
 
0.4%
9 1032
 
0.2%
(Missing) 11740
 
2.7%
ValueCountFrequency (%)
1 42039
 
9.5%
2 384762
87.2%
7 1883
 
0.4%
9 1032
 
0.2%
ValueCountFrequency (%)
9 1032
 
0.2%
7 1883
 
0.4%
2 384762
87.2%
1 42039
 
9.5%

DIFFWALK
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing12334
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.856600221
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.531415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5798381526
Coefficient of variation (CV)0.3123117977
Kurtosis66.31587561
Mean1.856600221
Median Absolute Deviation (MAD)0
Skewness5.623262295
Sum796708
Variance0.3362122832
MonotonicityNot monotonic
2024-06-18T20:12:22.570058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 352198
79.8%
1 74664
 
16.9%
7 1346
 
0.3%
9 914
 
0.2%
(Missing) 12334
 
2.8%
ValueCountFrequency (%)
1 74664
 
16.9%
2 352198
79.8%
7 1346
 
0.3%
9 914
 
0.2%
ValueCountFrequency (%)
9 914
 
0.2%
7 1346
 
0.3%
2 352198
79.8%
1 74664
 
16.9%

DIFFDRES
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing12728
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean1.973701274
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.607805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3954436664
Coefficient of variation (CV)0.2003563921
Kurtosis206.1487455
Mean1.973701274
Median Absolute Deviation (MAD)0
Skewness11.56657816
Sum846181
Variance0.1563756933
MonotonicityNot monotonic
2024-06-18T20:12:22.645483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 408765
92.6%
1 18778
 
4.3%
9 789
 
0.2%
7 396
 
0.1%
(Missing) 12728
 
2.9%
ValueCountFrequency (%)
1 18778
 
4.3%
2 408765
92.6%
7 396
 
0.1%
9 789
 
0.2%
ValueCountFrequency (%)
9 789
 
0.2%
7 396
 
0.1%
2 408765
92.6%
1 18778
 
4.3%

DIFFALON
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing13326
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean1.948221335
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.682428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4925967539
Coefficient of variation (CV)0.2528443484
Kurtosis118.3689055
Mean1.948221335
Median Absolute Deviation (MAD)0
Skewness8.507578272
Sum834092
Variance0.2426515619
MonotonicityNot monotonic
2024-06-18T20:12:22.720747image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 392528
88.9%
1 33690
 
7.6%
9 981
 
0.2%
7 931
 
0.2%
(Missing) 13326
 
3.0%
ValueCountFrequency (%)
1 33690
 
7.6%
2 392528
88.9%
7 931
 
0.2%
9 981
 
0.2%
ValueCountFrequency (%)
9 981
 
0.2%
7 931
 
0.2%
2 392528
88.9%
1 33690
 
7.6%

SMOKE100
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing14255
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean1.613987327
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.758169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7465300192
Coefficient of variation (CV)0.4625377206
Kurtosis41.64920232
Mean1.613987327
Median Absolute Deviation (MAD)0
Skewness4.762427554
Sum689497
Variance0.5573070696
MonotonicityNot monotonic
2024-06-18T20:12:22.796421image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 239608
54.3%
1 184299
41.7%
7 1832
 
0.4%
9 1462
 
0.3%
(Missing) 14255
 
3.2%
ValueCountFrequency (%)
1 184299
41.7%
2 239608
54.3%
7 1832
 
0.4%
9 1462
 
0.3%
ValueCountFrequency (%)
9 1462
 
0.3%
7 1832
 
0.4%
2 239608
54.3%
1 184299
41.7%

SMOKDAY2
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing257263
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean2.439034057
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.833875image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8863603861
Coefficient of variation (CV)0.363406318
Kurtosis3.14227652
Mean2.439034057
Median Absolute Deviation (MAD)0
Skewness-0.2442733846
Sum449253
Variance0.7856347341
MonotonicityNot monotonic
2024-06-18T20:12:22.873704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 122277
27.7%
1 43583
 
9.9%
2 17998
 
4.1%
9 249
 
0.1%
7 86
 
< 0.1%
(Missing) 257263
58.3%
ValueCountFrequency (%)
1 43583
 
9.9%
2 17998
 
4.1%
3 122277
27.7%
7 86
 
< 0.1%
9 249
 
0.1%
ValueCountFrequency (%)
9 249
 
0.1%
7 86
 
< 0.1%
3 122277
27.7%
2 17998
 
4.1%
1 43583
 
9.9%

STOPSMK2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing379938
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1.450242206
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.912722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6051938476
Coefficient of variation (CV)0.4173053613
Kurtosis31.54619883
Mean1.450242206
Median Absolute Deviation (MAD)0
Skewness3.416547671
Sum89216
Variance0.3662595931
MonotonicityNot monotonic
2024-06-18T20:12:22.952931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 34958
 
7.9%
2 26346
 
6.0%
7 180
 
< 0.1%
9 34
 
< 0.1%
(Missing) 379938
86.1%
ValueCountFrequency (%)
1 34958
7.9%
2 26346
6.0%
7 180
 
< 0.1%
9 34
 
< 0.1%
ValueCountFrequency (%)
9 34
 
< 0.1%
7 180
 
< 0.1%
2 26346
6.0%
1 34958
7.9%

LASTSMK2
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)< 0.1%
Missing319266
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean6.748989279
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:22.994530image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median7
Q37
95-th percentile7
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.286720607
Coefficient of variation (CV)0.9315054961
Kurtosis135.3145023
Mean6.748989279
Median Absolute Deviation (MAD)0
Skewness11.31233258
Sum824659
Variance39.52285599
MonotonicityNot monotonic
2024-06-18T20:12:23.034750image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 81153
 
18.4%
5 15684
 
3.6%
6 12204
 
2.8%
4 4042
 
0.9%
1 2564
 
0.6%
3 2463
 
0.6%
2 2348
 
0.5%
8 899
 
0.2%
77 706
 
0.2%
99 127
 
< 0.1%
(Missing) 319266
72.3%
ValueCountFrequency (%)
1 2564
 
0.6%
2 2348
 
0.5%
3 2463
 
0.6%
4 4042
 
0.9%
5 15684
3.6%
ValueCountFrequency (%)
99 127
 
< 0.1%
77 706
 
0.2%
8 899
 
0.2%
7 81153
18.4%
6 12204
 
2.8%

USENOW3
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing14890
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean2.977548609
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.070848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4935697855
Coefficient of variation (CV)0.1657638045
Kurtosis98.07964729
Mean2.977548609
Median Absolute Deviation (MAD)0
Skewness6.709456592
Sum1270121
Variance0.2436111332
MonotonicityNot monotonic
2024-06-18T20:12:23.109190image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 411021
93.1%
1 7522
 
1.7%
2 6055
 
1.4%
9 1825
 
0.4%
7 143
 
< 0.1%
(Missing) 14890
 
3.4%
ValueCountFrequency (%)
1 7522
 
1.7%
2 6055
 
1.4%
3 411021
93.1%
7 143
 
< 0.1%
9 1825
 
0.4%
ValueCountFrequency (%)
9 1825
 
0.4%
7 143
 
< 0.1%
3 411021
93.1%
2 6055
 
1.4%
1 7522
 
1.7%

ALCDAY5
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)< 0.1%
Missing15931
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean536.034468
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.158436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1202
median777
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)686

Descriptive statistics

Standard deviation355.8804255
Coefficient of variation (CV)0.6639133241
Kurtosis-1.954498668
Mean536.034468
Median Absolute Deviation (MAD)222
Skewness-0.03690042444
Sum228096067
Variance126650.8772
MonotonicityNot monotonic
2024-06-18T20:12:23.207801image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
888 208460
47.2%
201 33975
 
7.7%
202 25398
 
5.8%
101 16587
 
3.8%
230 14534
 
3.3%
203 14056
 
3.2%
102 13481
 
3.1%
205 11911
 
2.7%
204 11745
 
2.7%
210 8965
 
2.0%
Other values (30) 66413
 
15.0%
(Missing) 15931
 
3.6%
ValueCountFrequency (%)
101 16587
3.8%
102 13481
3.1%
103 8962
2.0%
104 4104
 
0.9%
105 4245
 
1.0%
ValueCountFrequency (%)
999 2624
 
0.6%
888 208460
47.2%
777 3095
 
0.7%
230 14534
 
3.3%
229 307
 
0.1%

AVEDRNK2
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)< 0.1%
Missing230618
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean3.493758241
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.257790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.55995922
Coefficient of variation (CV)3.022521448
Kurtosis52.50656317
Mean3.493758241
Median Absolute Deviation (MAD)1
Skewness7.2089057
Sum736617
Variance111.5127387
MonotonicityNot monotonic
2024-06-18T20:12:23.314226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 97570
22.1%
2 62327
 
14.1%
3 22648
 
5.1%
4 9493
 
2.2%
5 4993
 
1.1%
6 4848
 
1.1%
77 2826
 
0.6%
8 1249
 
0.3%
10 1249
 
0.3%
12 907
 
0.2%
Other values (40) 2728
 
0.6%
(Missing) 230618
52.2%
ValueCountFrequency (%)
1 97570
22.1%
2 62327
14.1%
3 22648
 
5.1%
4 9493
 
2.2%
5 4993
 
1.1%
ValueCountFrequency (%)
99 749
 
0.2%
77 2826
0.6%
76 6
 
< 0.1%
75 1
 
< 0.1%
70 2
 
< 0.1%

DRNK3GE5
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)< 0.1%
Missing231036
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean67.78319076
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.366891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q177
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)11

Descriptive statistics

Standard deviation35.87023515
Coefficient of variation (CV)0.5291907145
Kurtosis-0.4552943299
Mean67.78319076
Median Absolute Deviation (MAD)0
Skewness-1.230939345
Sum14262939
Variance1286.67377
MonotonicityNot monotonic
2024-06-18T20:12:23.419843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
88 156779
35.5%
1 18498
 
4.2%
2 10635
 
2.4%
3 4820
 
1.1%
4 4630
 
1.0%
5 3383
 
0.8%
77 2374
 
0.5%
30 1627
 
0.4%
10 1618
 
0.4%
6 1217
 
0.3%
Other values (34) 4839
 
1.1%
(Missing) 231036
52.3%
ValueCountFrequency (%)
1 18498
4.2%
2 10635
2.4%
3 4820
 
1.1%
4 4630
 
1.0%
5 3383
 
0.8%
ValueCountFrequency (%)
99 661
 
0.1%
88 156779
35.5%
77 2374
 
0.5%
76 5
 
< 0.1%
60 2
 
< 0.1%

MAXDRNKS
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)< 0.1%
Missing231439
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean5.611398125
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.472211image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile12
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.98152902
Coefficient of variation (CV)2.491630198
Kurtosis25.52305881
Mean5.611398125
Median Absolute Deviation (MAD)1
Skewness5.100091963
Sum1178489
Variance195.4831538
MonotonicityNot monotonic
2024-06-18T20:12:23.528441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 57453
 
13.0%
1 57427
 
13.0%
3 32683
 
7.4%
4 16942
 
3.8%
5 11843
 
2.7%
6 9862
 
2.2%
77 5514
 
1.2%
8 3948
 
0.9%
10 3752
 
0.8%
7 3237
 
0.7%
Other values (52) 7356
 
1.7%
(Missing) 231439
52.4%
ValueCountFrequency (%)
1 57427
13.0%
2 57453
13.0%
3 32683
7.4%
4 16942
 
3.8%
5 11843
 
2.7%
ValueCountFrequency (%)
99 1116
 
0.3%
77 5514
1.2%
76 6
 
< 0.1%
72 1
 
< 0.1%
71 1
 
< 0.1%

FRUITJU1
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)< 0.1%
Missing27998
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean367.9283531
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.580958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1202
median308
Q3555
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)353

Descriptive statistics

Standard deviation192.6552778
Coefficient of variation (CV)0.523621722
Kurtosis-0.8699141521
Mean367.9283531
Median Absolute Deviation (MAD)207
Skewness0.1866084055
Sum152122921
Variance37116.05607
MonotonicityNot monotonic
2024-06-18T20:12:23.634154image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
555 165937
37.6%
101 58693
 
13.3%
202 18322
 
4.2%
302 18028
 
4.1%
201 16057
 
3.6%
203 15506
 
3.5%
301 14313
 
3.2%
303 11197
 
2.5%
305 10709
 
2.4%
102 8928
 
2.0%
Other values (100) 75768
17.2%
(Missing) 27998
 
6.3%
ValueCountFrequency (%)
101 58693
13.3%
102 8928
 
2.0%
103 2925
 
0.7%
104 768
 
0.2%
105 552
 
0.1%
ValueCountFrequency (%)
999 2308
 
0.5%
777 8229
 
1.9%
555 165937
37.6%
399 22
 
< 0.1%
390 18
 
< 0.1%

FRUIT1
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)< 0.1%
Missing29150
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean213.1201535
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.687017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1102
median202
Q3305
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)203

Descriptive statistics

Standard deviation142.5383507
Coefficient of variation (CV)0.6688168544
Kurtosis6.732518262
Mean213.1201535
Median Absolute Deviation (MAD)101
Skewness2.132207967
Sum87870718
Variance20317.18141
MonotonicityNot monotonic
2024-06-18T20:12:23.740293image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 101515
23.0%
102 54481
12.3%
203 26029
 
5.9%
202 20831
 
4.7%
103 20209
 
4.6%
555 16204
 
3.7%
204 14713
 
3.3%
320 14316
 
3.2%
330 14230
 
3.2%
315 13273
 
3.0%
Other values (132) 116505
26.4%
(Missing) 29150
 
6.6%
ValueCountFrequency (%)
101 101515
23.0%
102 54481
12.3%
103 20209
 
4.6%
104 4444
 
1.0%
105 2253
 
0.5%
ValueCountFrequency (%)
999 2293
 
0.5%
777 5139
 
1.2%
555 16204
3.7%
399 56
 
< 0.1%
395 2
 
< 0.1%

FVBEANS
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)< 0.1%
Missing30375
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean314.8895181
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.791594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1202
median302
Q3314
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)112

Descriptive statistics

Standard deviation150.6355805
Coefficient of variation (CV)0.4783759758
Kurtosis2.26526002
Mean314.8895181
Median Absolute Deviation (MAD)99
Skewness1.39439283
Sum129445098
Variance22691.07811
MonotonicityNot monotonic
2024-06-18T20:12:23.844135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
555 68637
15.5%
201 42751
9.7%
202 40969
9.3%
302 32956
 
7.5%
203 28838
 
6.5%
305 21403
 
4.8%
301 21335
 
4.8%
303 21264
 
4.8%
101 18496
 
4.2%
304 17637
 
4.0%
Other values (102) 96795
21.9%
(Missing) 30375
 
6.9%
ValueCountFrequency (%)
101 18496
4.2%
102 3773
 
0.9%
103 1017
 
0.2%
104 264
 
0.1%
105 203
 
< 0.1%
ValueCountFrequency (%)
999 2186
 
0.5%
777 7386
 
1.7%
555 68637
15.5%
399 10
 
< 0.1%
392 1
 
< 0.1%

FVGREEN
Real number (ℝ)

MISSING 

Distinct125
Distinct (%)< 0.1%
Missing31311
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean259.7757891
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:23.896587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1201
median205
Q3310
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)109

Descriptive statistics

Standard deviation139.5195527
Coefficient of variation (CV)0.5370768124
Kurtosis5.159571256
Mean259.7757891
Median Absolute Deviation (MAD)101
Skewness1.793076462
Sum106545741
Variance19465.70559
MonotonicityNot monotonic
2024-06-18T20:12:23.949328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 56621
12.8%
203 38278
 
8.7%
202 35675
 
8.1%
555 31418
 
7.1%
201 26704
 
6.0%
204 21905
 
5.0%
320 18301
 
4.1%
102 17072
 
3.9%
315 16964
 
3.8%
310 16700
 
3.8%
Other values (115) 130507
29.6%
(Missing) 31311
 
7.1%
ValueCountFrequency (%)
101 56621
12.8%
102 17072
 
3.9%
103 3426
 
0.8%
104 751
 
0.2%
105 552
 
0.1%
ValueCountFrequency (%)
999 2211
 
0.5%
777 4427
 
1.0%
555 31418
7.1%
399 25
 
< 0.1%
396 1
 
< 0.1%

FVORANG
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)< 0.1%
Missing32115
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean302.0082498
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.001099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1202
median302
Q3310
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)108

Descriptive statistics

Standard deviation144.2744238
Coefficient of variation (CV)0.47771683
Kurtosis3.006647715
Mean302.0082498
Median Absolute Deviation (MAD)99
Skewness1.512119027
Sum123624359
Variance20815.10935
MonotonicityNot monotonic
2024-06-18T20:12:24.053796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
555 59408
13.5%
201 50270
11.4%
202 42208
9.6%
302 31494
 
7.1%
203 28856
 
6.5%
101 23071
 
5.2%
305 22610
 
5.1%
301 21397
 
4.8%
310 19699
 
4.5%
303 18416
 
4.2%
Other values (99) 91912
20.8%
(Missing) 32115
 
7.3%
ValueCountFrequency (%)
101 23071
5.2%
102 3629
 
0.8%
103 907
 
0.2%
104 236
 
0.1%
105 192
 
< 0.1%
ValueCountFrequency (%)
999 2154
 
0.5%
777 4989
 
1.1%
555 59408
13.5%
399 8
 
< 0.1%
397 1
 
< 0.1%

VEGETAB1
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)< 0.1%
Missing33138
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean227.1561748
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.106179image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1102
median203
Q3310
95-th percentile330
Maximum999
Range898
Interquartile range (IQR)208

Descriptive statistics

Standard deviation133.7934199
Coefficient of variation (CV)0.5889931014
Kurtosis8.893924091
Mean227.1561748
Median Absolute Deviation (MAD)102
Skewness2.275034092
Sum92751955
Variance17900.67921
MonotonicityNot monotonic
2024-06-18T20:12:24.158543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 92719
21.0%
203 32466
 
7.4%
102 31270
 
7.1%
202 26217
 
5.9%
320 22048
 
5.0%
204 21153
 
4.8%
330 21139
 
4.8%
205 17246
 
3.9%
315 16953
 
3.8%
201 14921
 
3.4%
Other values (128) 112186
25.4%
(Missing) 33138
 
7.5%
ValueCountFrequency (%)
101 92719
21.0%
102 31270
 
7.1%
103 5866
 
1.3%
104 1232
 
0.3%
105 730
 
0.2%
ValueCountFrequency (%)
999 2530
 
0.6%
777 5795
1.3%
555 7452
1.7%
399 68
 
< 0.1%
396 1
 
< 0.1%

EXERANY2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing35444
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean1.311872555
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.197961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7262896582
Coefficient of variation (CV)0.5536282127
Kurtosis62.99662407
Mean1.311872555
Median Absolute Deviation (MAD)0
Skewness6.564721862
Sum532636
Variance0.5274966677
MonotonicityNot monotonic
2024-06-18T20:12:24.236810image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 296020
67.1%
2 107444
 
24.3%
9 1946
 
0.4%
7 602
 
0.1%
(Missing) 35444
 
8.0%
ValueCountFrequency (%)
1 296020
67.1%
2 107444
 
24.3%
7 602
 
0.1%
9 1946
 
0.4%
ValueCountFrequency (%)
9 1946
 
0.4%
7 602
 
0.1%
2 107444
 
24.3%
1 296020
67.1%

EXRACT11
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)< 0.1%
Missing145678
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean52.432544
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.287500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q137
median64
Q364
95-th percentile76
Maximum99
Range98
Interquartile range (IQR)27

Descriptive statistics

Standard deviation23.59507513
Coefficient of variation (CV)0.4500082073
Kurtosis-0.3160385321
Mean52.432544
Median Absolute Deviation (MAD)0
Skewness-0.7223765193
Sum15508393
Variance556.7275705
MonotonicityNot monotonic
2024-06-18T20:12:24.342662image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 161359
36.6%
37 19638
 
4.4%
18 16266
 
3.7%
98 12033
 
2.7%
67 10926
 
2.5%
7 7329
 
1.7%
2 7022
 
1.6%
6 6718
 
1.5%
76 4845
 
1.1%
15 4836
 
1.1%
Other values (67) 44806
 
10.1%
(Missing) 145678
33.0%
ValueCountFrequency (%)
1 157
 
< 0.1%
2 7022
1.6%
3 25
 
< 0.1%
4 39
 
< 0.1%
5 1783
 
0.4%
ValueCountFrequency (%)
99 414
 
0.1%
98 12033
2.7%
77 800
 
0.2%
76 4845
1.1%
75 201
 
< 0.1%

EXEROFT1
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)< 0.1%
Missing147431
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean142.8685248
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.395429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1103
median105
Q3204
95-th percentile230
Maximum999
Range898
Interquartile range (IQR)101

Descriptive statistics

Standard deviation84.70242928
Coefficient of variation (CV)0.5928697689
Kurtosis42.28638004
Mean142.8685248
Median Absolute Deviation (MAD)2
Skewness5.427421478
Sum42006918
Variance7174.501526
MonotonicityNot monotonic
2024-06-18T20:12:24.448238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103 52137
 
11.8%
107 35801
 
8.1%
102 34577
 
7.8%
105 28621
 
6.5%
104 26082
 
5.9%
101 16506
 
3.7%
230 15748
 
3.6%
106 9583
 
2.2%
220 9200
 
2.1%
215 7461
 
1.7%
Other values (114) 58309
 
13.2%
(Missing) 147431
33.4%
ValueCountFrequency (%)
101 16506
 
3.7%
102 34577
7.8%
103 52137
11.8%
104 26082
5.9%
105 28621
6.5%
ValueCountFrequency (%)
999 585
 
0.1%
777 2275
0.5%
299 38
 
< 0.1%
298 1
 
< 0.1%
296 1
 
< 0.1%

EXERHMM1
Real number (ℝ)

MISSING 

Distinct206
Distinct (%)0.1%
Missing147791
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean107.50592
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.499731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q130
median45
Q3100
95-th percentile400
Maximum999
Range998
Interquartile range (IQR)70

Descriptive statistics

Standard deviation149.4552528
Coefficient of variation (CV)1.390204863
Kurtosis10.97784043
Mean107.50592
Median Absolute Deviation (MAD)30
Skewness3.146595816
Sum31570726
Variance22336.87258
MonotonicityNot monotonic
2024-06-18T20:12:24.552580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 72800
16.5%
100 64957
14.7%
45 28332
 
6.4%
20 21054
 
4.8%
200 20036
 
4.5%
130 12883
 
2.9%
15 11851
 
2.7%
40 9260
 
2.1%
300 8138
 
1.8%
400 6204
 
1.4%
Other values (196) 38150
 
8.6%
(Missing) 147791
33.5%
ValueCountFrequency (%)
1 890
0.2%
2 509
0.1%
3 339
 
0.1%
4 264
 
0.1%
5 1174
0.3%
ValueCountFrequency (%)
999 429
0.1%
959 112
 
< 0.1%
956 1
 
< 0.1%
955 1
 
< 0.1%
950 1
 
< 0.1%

EXRACT21
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)< 0.1%
Missing148176
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean62.68162848
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.605940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q148
median67
Q388
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)40

Descriptive statistics

Standard deviation28.87149042
Coefficient of variation (CV)0.460605302
Kurtosis-0.6763010839
Mean62.68162848
Median Absolute Deviation (MAD)21
Skewness-0.8093851105
Sum18383268
Variance833.5629589
MonotonicityNot monotonic
2024-06-18T20:12:24.658304image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 92337
20.9%
64 40852
 
9.3%
67 18218
 
4.1%
98 15106
 
3.4%
73 14388
 
3.3%
18 13680
 
3.1%
76 10110
 
2.3%
37 8875
 
2.0%
7 8074
 
1.8%
6 5904
 
1.3%
Other values (68) 65736
14.9%
(Missing) 148176
33.6%
ValueCountFrequency (%)
1 214
 
< 0.1%
2 4643
1.1%
3 21
 
< 0.1%
4 66
 
< 0.1%
5 1988
0.5%
ValueCountFrequency (%)
99 861
 
0.2%
98 15106
 
3.4%
88 92337
20.9%
77 2805
 
0.6%
76 10110
 
2.3%

EXEROFT2
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)0.1%
Missing244540
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean147.0625698
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.709706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1102
median105
Q3204
95-th percentile230
Maximum999
Range898
Interquartile range (IQR)102

Descriptive statistics

Standard deviation88.35388319
Coefficient of variation (CV)0.6007911006
Kurtosis38.89990065
Mean147.0625698
Median Absolute Deviation (MAD)3
Skewness5.253984949
Sum28958973
Variance7806.408674
MonotonicityNot monotonic
2024-06-18T20:12:24.762363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 34377
 
7.8%
103 28730
 
6.5%
101 24842
 
5.6%
107 16258
 
3.7%
104 10270
 
2.3%
105 10175
 
2.3%
202 8094
 
1.8%
230 7780
 
1.8%
204 7452
 
1.7%
203 6030
 
1.4%
Other values (95) 42908
 
9.7%
(Missing) 244540
55.4%
ValueCountFrequency (%)
101 24842
5.6%
102 34377
7.8%
103 28730
6.5%
104 10270
 
2.3%
105 10175
 
2.3%
ValueCountFrequency (%)
999 410
 
0.1%
777 1810
0.4%
299 46
 
< 0.1%
298 1
 
< 0.1%
290 42
 
< 0.1%

EXERHMM2
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)0.1%
Missing244722
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean124.2392977
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.815051image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q130
median45
Q3130
95-th percentile500
Maximum999
Range998
Interquartile range (IQR)100

Descriptive statistics

Standard deviation166.9566929
Coefficient of variation (CV)1.343831589
Kurtosis7.642720473
Mean124.2392977
Median Absolute Deviation (MAD)41
Skewness2.664687124
Sum24442094
Variance27874.53731
MonotonicityNot monotonic
2024-06-18T20:12:24.868005image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 42720
 
9.7%
100 42385
 
9.6%
200 18314
 
4.1%
20 15115
 
3.4%
45 13499
 
3.1%
15 10376
 
2.4%
300 7875
 
1.8%
130 7780
 
1.8%
400 5818
 
1.3%
10 5569
 
1.3%
Other values (173) 27283
 
6.2%
(Missing) 244722
55.4%
ValueCountFrequency (%)
1 748
0.2%
2 600
 
0.1%
3 409
 
0.1%
4 243
 
0.1%
5 1577
0.4%
ValueCountFrequency (%)
999 432
0.1%
959 120
 
< 0.1%
955 3
 
< 0.1%
950 4
 
< 0.1%
945 7
 
< 0.1%

STRENGTH
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)< 0.1%
Missing38720
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean603.090347
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:24.919171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1107
median888
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)781

Descriptive statistics

Standard deviation365.2542014
Coefficient of variation (CV)0.6056376183
Kurtosis-1.705413606
Mean603.090347
Median Absolute Deviation (MAD)0
Skewness-0.5120200318
Sum242886194
Variance133410.6316
MonotonicityNot monotonic
2024-06-18T20:12:24.971306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 244368
55.4%
103 27378
 
6.2%
102 24200
 
5.5%
101 15280
 
3.5%
107 11054
 
2.5%
105 10428
 
2.4%
104 10104
 
2.3%
202 6705
 
1.5%
230 4595
 
1.0%
210 4452
 
1.0%
Other values (97) 44172
 
10.0%
(Missing) 38720
 
8.8%
ValueCountFrequency (%)
101 15280
3.5%
102 24200
5.5%
103 27378
6.2%
104 10104
 
2.3%
105 10428
 
2.4%
ValueCountFrequency (%)
999 2505
 
0.6%
888 244368
55.4%
777 2788
 
0.6%
299 21
 
< 0.1%
298 1
 
< 0.1%

LMTJOIN3
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing304766
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1.57652352
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.010725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8371485242
Coefficient of variation (CV)0.5310092196
Kurtosis34.48619438
Mean1.57652352
Median Absolute Deviation (MAD)1
Skewness4.732940996
Sum215495
Variance0.7008176516
MonotonicityNot monotonic
2024-06-18T20:12:25.050205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 67911
 
15.4%
1 67129
 
15.2%
7 1153
 
0.3%
9 497
 
0.1%
(Missing) 304766
69.0%
ValueCountFrequency (%)
1 67129
15.2%
2 67911
15.4%
7 1153
 
0.3%
9 497
 
0.1%
ValueCountFrequency (%)
9 497
 
0.1%
7 1153
 
0.3%
2 67911
15.4%
1 67129
15.2%

ARTHDIS2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing304953
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean1.862647707
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.089346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.149088319
Coefficient of variation (CV)0.6169112463
Kurtosis21.80599799
Mean1.862647707
Median Absolute Deviation (MAD)0
Skewness4.303190251
Sum254257
Variance1.320403964
MonotonicityNot monotonic
2024-06-18T20:12:25.130605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 90058
 
20.4%
1 42362
 
9.6%
7 2484
 
0.6%
9 1599
 
0.4%
(Missing) 304953
69.1%
ValueCountFrequency (%)
1 42362
9.6%
2 90058
20.4%
7 2484
 
0.6%
9 1599
 
0.4%
ValueCountFrequency (%)
9 1599
 
0.4%
7 2484
 
0.6%
2 90058
20.4%
1 42362
9.6%

ARTHSOCL
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing305162
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean2.44167755
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.170701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9442342929
Coefficient of variation (CV)0.3867153928
Kurtosis10.7562019
Mean2.44167755
Median Absolute Deviation (MAD)0
Skewness1.436824788
Sum332786
Variance0.8915783998
MonotonicityNot monotonic
2024-06-18T20:12:25.210722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 77678
 
17.6%
2 32422
 
7.3%
1 24937
 
5.6%
7 671
 
0.2%
9 586
 
0.1%
(Missing) 305162
69.1%
ValueCountFrequency (%)
1 24937
 
5.6%
2 32422
7.3%
3 77678
17.6%
7 671
 
0.2%
9 586
 
0.1%
ValueCountFrequency (%)
9 586
 
0.1%
7 671
 
0.2%
3 77678
17.6%
2 32422
7.3%
1 24937
 
5.6%

JOINPAIN
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)< 0.1%
Missing307728
Missing (%)69.7%
Infinite0
Infinite (%)0.0%
Mean6.217381551
Minimum5.397605347 × 10-79
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.252797image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q13
median5
Q37
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.37403312
Coefficient of variation (CV)1.829392813
Kurtosis43.38902445
Mean6.217381551
Median Absolute Deviation (MAD)2
Skewness6.469540457
Sum831438
Variance129.3686295
MonotonicityNot monotonic
2024-06-18T20:12:25.293815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5 21268
 
4.8%
3 16829
 
3.8%
4 14275
 
3.2%
2 14023
 
3.2%
8 13139
 
3.0%
7 12161
 
2.8%
6 11426
 
2.6%
5.397605347 × 10-799092
 
2.1%
1 8393
 
1.9%
10 7191
 
1.6%
Other values (3) 5931
 
1.3%
(Missing) 307728
69.7%
ValueCountFrequency (%)
5.397605347 × 10-799092
2.1%
1 8393
1.9%
2 14023
3.2%
3 16829
3.8%
4 14275
3.2%
ValueCountFrequency (%)
99 760
 
0.2%
77 1891
 
0.4%
10 7191
1.6%
9 3280
 
0.7%
8 13139
3.0%

SEATBELT
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing40467
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean1.279299432
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.330891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9533200767
Coefficient of variation (CV)0.7451891658
Kurtosis30.11755183
Mean1.279299432
Median Absolute Deviation (MAD)0
Skewness4.996503793
Sum512985
Variance0.9088191686
MonotonicityNot monotonic
2024-06-18T20:12:25.371727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 348569
79.0%
2 27549
 
6.2%
3 10971
 
2.5%
5 6166
 
1.4%
4 4530
 
1.0%
9 2076
 
0.5%
8 875
 
0.2%
7 253
 
0.1%
(Missing) 40467
 
9.2%
ValueCountFrequency (%)
1 348569
79.0%
2 27549
 
6.2%
3 10971
 
2.5%
4 4530
 
1.0%
5 6166
 
1.4%
ValueCountFrequency (%)
9 2076
 
0.5%
8 875
 
0.2%
7 253
 
0.1%
5 6166
1.4%
4 4530
1.0%

FLUSHOT6
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing41381
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean1.570315566
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.411101image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7819869187
Coefficient of variation (CV)0.4979807471
Kurtosis45.58202436
Mean1.570315566
Median Absolute Deviation (MAD)0
Skewness5.211090841
Sum628244
Variance0.611503541
MonotonicityNot monotonic
2024-06-18T20:12:25.450516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 205571
46.6%
1 191438
43.4%
9 2101
 
0.5%
7 965
 
0.2%
(Missing) 41381
 
9.4%
ValueCountFrequency (%)
1 191438
43.4%
2 205571
46.6%
7 965
 
0.2%
9 2101
 
0.5%
ValueCountFrequency (%)
9 2101
 
0.5%
7 965
 
0.2%
2 205571
46.6%
1 191438
43.4%

FLSHTMY2
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)< 0.1%
Missing251262
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean137103.8136
Minimum12014
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.496640image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum12014
5-th percentile22015
Q1102014
median102014
Q3112014
95-th percentile777777
Maximum999999
Range987985
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation164327.1387
Coefficient of variation (CV)1.198559941
Kurtosis11.61302625
Mean137103.8136
Median Absolute Deviation (MAD)10000
Skewness3.619702292
Sum2.607632273 × 1010
Variance2.700340852 × 1010
MonotonicityNot monotonic
2024-06-18T20:12:25.546388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
102014 62456
 
14.1%
112014 30720
 
7.0%
102015 21470
 
4.9%
92014 18627
 
4.2%
777777 10944
 
2.5%
122014 9025
 
2.0%
92015 8888
 
2.0%
12015 6835
 
1.5%
112015 6801
 
1.5%
22015 3731
 
0.8%
Other values (18) 10697
 
2.4%
(Missing) 251262
56.9%
ValueCountFrequency (%)
12014 106
 
< 0.1%
12015 6835
1.5%
12016 35
 
< 0.1%
22014 154
 
< 0.1%
22015 3731
0.8%
ValueCountFrequency (%)
999999 324
 
0.1%
777777 10944
2.5%
122015 1007
 
0.2%
122014 9025
2.0%
112015 6801
1.5%

IMFVPLAC
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)< 0.1%
Missing250257
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean4.128395023
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.589406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q35
95-th percentile8
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.358713265
Coefficient of variation (CV)1.298013692
Kurtosis158.7936176
Mean4.128395023
Median Absolute Deviation (MAD)3
Skewness10.8623592
Sum789345
Variance28.71580786
MonotonicityNot monotonic
2024-06-18T20:12:25.631390image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 72670
 
16.5%
5 48541
 
11.0%
8 26666
 
6.0%
3 17619
 
4.0%
6 11043
 
2.5%
9 5780
 
1.3%
2 4423
 
1.0%
4 2190
 
0.5%
11 1376
 
0.3%
77 562
 
0.1%
Other values (3) 329
 
0.1%
(Missing) 250257
56.7%
ValueCountFrequency (%)
1 72670
16.5%
2 4423
 
1.0%
3 17619
 
4.0%
4 2190
 
0.5%
5 48541
11.0%
ValueCountFrequency (%)
99 119
 
< 0.1%
77 562
 
0.1%
11 1376
 
0.3%
10 80
 
< 0.1%
9 5780
1.3%

PNEUVAC3
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing41943
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean2.069171717
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.668776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.668281769
Coefficient of variation (CV)0.8062558342
Kurtosis5.153223888
Mean2.069171717
Median Absolute Deviation (MAD)0
Skewness2.47887566
Sum826661
Variance2.783164059
MonotonicityNot monotonic
2024-06-18T20:12:25.708673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 205590
46.6%
1 157698
35.7%
7 34121
 
7.7%
9 2104
 
0.5%
(Missing) 41943
 
9.5%
ValueCountFrequency (%)
1 157698
35.7%
2 205590
46.6%
7 34121
 
7.7%
9 2104
 
0.5%
ValueCountFrequency (%)
9 2104
 
0.5%
7 34121
 
7.7%
2 205590
46.6%
1 157698
35.7%

HIVTST6
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing43387
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean1.912065496
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.747893image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.171706422
Coefficient of variation (CV)0.6127961747
Kurtosis17.5070185
Mean1.912065496
Median Absolute Deviation (MAD)0
Skewness3.909160384
Sum761134
Variance1.372895939
MonotonicityNot monotonic
2024-06-18T20:12:25.786736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 269733
61.1%
1 113779
25.8%
7 11562
 
2.6%
9 2995
 
0.7%
(Missing) 43387
 
9.8%
ValueCountFrequency (%)
1 113779
25.8%
2 269733
61.1%
7 11562
 
2.6%
9 2995
 
0.7%
ValueCountFrequency (%)
9 2995
 
0.7%
7 11562
 
2.6%
2 269733
61.1%
1 113779
25.8%

HIVTSTD3
Real number (ℝ)

MISSING 

Distinct416
Distinct (%)0.4%
Missing327764
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean389070.9082
Minimum11985
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.837305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11985
5-th percentile12015
Q162008
median112014
Q3772013
95-th percentile777777
Maximum999999
Range988014
Interquartile range (IQR)710005

Descriptive statistics

Standard deviation355697.3008
Coefficient of variation (CV)0.9142223008
Kurtosis-1.941562155
Mean389070.9082
Median Absolute Deviation (MAD)99999
Skewness0.1691842733
Sum4.423424969 × 1010
Variance1.265205698 × 1011
MonotonicityNot monotonic
2024-06-18T20:12:25.893140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
777777 23677
 
5.4%
772014 2861
 
0.6%
772013 2449
 
0.6%
12015 2051
 
0.5%
772010 1951
 
0.4%
772012 1923
 
0.4%
102014 1853
 
0.4%
772005 1848
 
0.4%
112014 1700
 
0.4%
22015 1657
 
0.4%
Other values (406) 71722
 
16.2%
(Missing) 327764
74.2%
ValueCountFrequency (%)
11985 15
 
< 0.1%
11986 12
 
< 0.1%
11987 19
< 0.1%
11988 26
< 0.1%
11989 40
< 0.1%
ValueCountFrequency (%)
999999 439
 
0.1%
777777 23677
5.4%
772016 1
 
< 0.1%
772015 715
 
0.2%
772014 2861
 
0.6%

WHRTST10
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)< 0.1%
Missing327938
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean4.622650152
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:25.937335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile8
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.00545512
Coefficient of variation (CV)2.380767472
Kurtosis42.44291167
Mean4.622650152
Median Absolute Deviation (MAD)2
Skewness6.44873237
Sum524754
Variance121.1200423
MonotonicityNot monotonic
2024-06-18T20:12:25.976942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 52062
 
11.8%
4 24303
 
5.5%
8 13639
 
3.1%
3 10716
 
2.4%
2 4023
 
0.9%
7 2811
 
0.6%
77 1991
 
0.5%
9 1974
 
0.4%
5 1215
 
0.3%
6 519
 
0.1%
(Missing) 327938
74.3%
ValueCountFrequency (%)
1 52062
11.8%
2 4023
 
0.9%
3 10716
 
2.4%
4 24303
5.5%
5 1215
 
0.3%
ValueCountFrequency (%)
99 265
 
0.1%
77 1991
 
0.5%
9 1974
 
0.4%
8 13639
3.1%
7 2811
 
0.6%

PDIABTST
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing358696
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean1.621942968
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.011729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.284443305
Coefficient of variation (CV)0.7919164425
Kurtosis11.78582185
Mean1.621942968
Median Absolute Deviation (MAD)0
Skewness3.42671097
Sum134232
Variance1.649794603
MonotonicityNot monotonic
2024-06-18T20:12:26.050608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 50705
 
11.5%
2 28188
 
6.4%
7 3826
 
0.9%
9 41
 
< 0.1%
(Missing) 358696
81.3%
ValueCountFrequency (%)
1 50705
11.5%
2 28188
6.4%
7 3826
 
0.9%
9 41
 
< 0.1%
ValueCountFrequency (%)
9 41
 
< 0.1%
7 3826
 
0.9%
2 28188
6.4%
1 50705
11.5%

PREDIAB1
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing358696
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean2.798985017
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.089078image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6792724208
Coefficient of variation (CV)0.2426852651
Kurtosis11.20137959
Mean2.798985017
Median Absolute Deviation (MAD)0
Skewness-0.6517834058
Sum231644
Variance0.4614110217
MonotonicityNot monotonic
2024-06-18T20:12:26.129379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 72890
 
16.5%
1 8550
 
1.9%
2 982
 
0.2%
7 291
 
0.1%
9 47
 
< 0.1%
(Missing) 358696
81.3%
ValueCountFrequency (%)
1 8550
 
1.9%
2 982
 
0.2%
3 72890
16.5%
7 291
 
0.1%
9 47
 
< 0.1%
ValueCountFrequency (%)
9 47
 
< 0.1%
7 291
 
0.1%
3 72890
16.5%
2 982
 
0.2%
1 8550
 
1.9%

INSULIN
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing412032
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean1.681756389
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.167131image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5307384188
Coefficient of variation (CV)0.3155857901
Kurtosis39.75703754
Mean1.681756389
Median Absolute Deviation (MAD)0
Skewness2.482958842
Sum49484
Variance0.2816832692
MonotonicityNot monotonic
2024-06-18T20:12:26.205873image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 19788
 
4.5%
1 9602
 
2.2%
9 34
 
< 0.1%
(Missing) 412032
93.3%
ValueCountFrequency (%)
1 9602
2.2%
2 19788
4.5%
9 34
 
< 0.1%
ValueCountFrequency (%)
9 34
 
< 0.1%
2 19788
4.5%
1 9602
2.2%

BLDSUGAR
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)0.3%
Missing412033
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean254.9590456
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.254647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median103
Q3204
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)103

Descriptive statistics

Standard deviation273.4484703
Coefficient of variation (CV)1.072519195
Kurtosis1.273941638
Mean254.9590456
Median Absolute Deviation (MAD)2
Skewness1.724645231
Sum7501660
Variance74774.06593
MonotonicityNot monotonic
2024-06-18T20:12:26.306630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 7509
 
1.7%
102 5315
 
1.2%
888 3954
 
0.9%
103 2710
 
0.6%
201 1548
 
0.4%
104 1505
 
0.3%
203 1201
 
0.3%
202 1117
 
0.3%
301 790
 
0.2%
204 510
 
0.1%
Other values (79) 3264
 
0.7%
(Missing) 412033
93.3%
ValueCountFrequency (%)
101 7509
1.7%
102 5315
1.2%
103 2710
 
0.6%
104 1505
 
0.3%
105 393
 
0.1%
ValueCountFrequency (%)
999 83
 
< 0.1%
888 3954
0.9%
777 436
 
0.1%
499 2
 
< 0.1%
490 1
 
< 0.1%

FEETCHK2
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)0.3%
Missing412035
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean271.1901363
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.358349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median101
Q3301
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)200

Descriptive statistics

Standard deviation285.1936958
Coefficient of variation (CV)1.051637422
Kurtosis0.607480041
Mean271.1901363
Median Absolute Deviation (MAD)0
Skewness1.529583083
Sum7978685
Variance81335.44413
MonotonicityNot monotonic
2024-06-18T20:12:26.411067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 15092
 
3.4%
888 4175
 
0.9%
201 2425
 
0.5%
102 1480
 
0.3%
301 933
 
0.2%
202 896
 
0.2%
203 767
 
0.2%
777 763
 
0.2%
204 333
 
0.1%
207 286
 
0.1%
Other values (69) 2271
 
0.5%
(Missing) 412035
93.3%
ValueCountFrequency (%)
101 15092
3.4%
102 1480
 
0.3%
103 267
 
0.1%
104 92
 
< 0.1%
105 60
 
< 0.1%
ValueCountFrequency (%)
999 112
 
< 0.1%
888 4175
0.9%
777 763
 
0.2%
555 278
 
0.1%
499 3
 
< 0.1%

DOCTDIAB
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)0.2%
Missing412038
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean14.94326603
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.463651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation28.44762628
Coefficient of variation (CV)1.903708749
Kurtosis2.404689828
Mean14.94326603
Median Absolute Deviation (MAD)2
Skewness2.071819443
Sum439601
Variance809.267441
MonotonicityNot monotonic
2024-06-18T20:12:26.517985image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
4 7250
 
1.6%
2 6144
 
1.4%
1 4320
 
1.0%
3 4030
 
0.9%
88 2895
 
0.7%
12 1086
 
0.2%
6 998
 
0.2%
77 993
 
0.2%
5 596
 
0.1%
8 206
 
< 0.1%
Other values (37) 900
 
0.2%
(Missing) 412038
93.3%
ValueCountFrequency (%)
1 4320
1.0%
2 6144
1.4%
3 4030
0.9%
4 7250
1.6%
5 596
 
0.1%
ValueCountFrequency (%)
99 116
 
< 0.1%
88 2895
0.7%
77 993
 
0.2%
76 35
 
< 0.1%
72 1
 
< 0.1%

CHKHEMO3
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)0.2%
Missing412039
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean14.59258252
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.571988image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation28.8529112
Coefficient of variation (CV)1.97723132
Kurtosis2.410704605
Mean14.59258252
Median Absolute Deviation (MAD)1
Skewness2.070685525
Sum429270
Variance832.4904848
MonotonicityNot monotonic
2024-06-18T20:12:26.625579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2 8050
 
1.8%
4 6705
 
1.5%
1 4525
 
1.0%
3 4509
 
1.0%
77 1881
 
0.4%
88 1549
 
0.4%
98 653
 
0.1%
6 498
 
0.1%
5 331
 
0.1%
12 319
 
0.1%
Other values (35) 397
 
0.1%
(Missing) 412039
93.3%
ValueCountFrequency (%)
1 4525
1.0%
2 8050
1.8%
3 4509
1.0%
4 6705
1.5%
5 331
 
0.1%
ValueCountFrequency (%)
99 84
 
< 0.1%
98 653
 
0.1%
88 1549
0.4%
77 1881
0.4%
76 22
 
< 0.1%

FEETCHK
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)0.2%
Missing412317
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean24.26195134
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.678967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q376
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation36.51915323
Coefficient of variation (CV)1.505202641
Kurtosis-0.6981129635
Mean24.26195134
Median Absolute Deviation (MAD)2
Skewness1.125398518
Sum706969
Variance1333.648553
MonotonicityNot monotonic
2024-06-18T20:12:26.733806image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 6439
 
1.5%
88 6362
 
1.4%
2 5712
 
1.3%
4 4434
 
1.0%
3 2777
 
0.6%
77 839
 
0.2%
6 816
 
0.2%
12 577
 
0.1%
5 376
 
0.1%
8 128
 
< 0.1%
Other values (37) 679
 
0.2%
(Missing) 412317
93.4%
ValueCountFrequency (%)
1 6439
1.5%
2 5712
1.3%
3 2777
0.6%
4 4434
1.0%
5 376
 
0.1%
ValueCountFrequency (%)
99 78
 
< 0.1%
88 6362
1.4%
77 839
 
0.2%
76 73
 
< 0.1%
75 1
 
< 0.1%

EYEEXAM
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing412039
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean2.411054832
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.774574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.467019407
Coefficient of variation (CV)0.6084554309
Kurtosis5.628119847
Mean2.411054832
Median Absolute Deviation (MAD)1
Skewness2.189476919
Sum70926
Variance2.15214594
MonotonicityNot monotonic
2024-06-18T20:12:26.813730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 14648
 
3.3%
1 6248
 
1.4%
3 3730
 
0.8%
4 3438
 
0.8%
8 905
 
0.2%
7 416
 
0.1%
9 32
 
< 0.1%
(Missing) 412039
93.3%
ValueCountFrequency (%)
1 6248
1.4%
2 14648
3.3%
3 3730
 
0.8%
4 3438
 
0.8%
7 416
 
0.1%
ValueCountFrequency (%)
9 32
 
< 0.1%
8 905
 
0.2%
7 416
 
0.1%
4 3438
0.8%
3 3730
0.8%

DIABEYE
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing412040
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean1.886728311
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.850572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7190513216
Coefficient of variation (CV)0.3811101563
Kurtosis36.03958876
Mean1.886728311
Median Absolute Deviation (MAD)0
Skewness4.848909972
Sum55500
Variance0.5170348031
MonotonicityNot monotonic
2024-06-18T20:12:26.889947image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 23694
 
5.4%
1 5330
 
1.2%
7 373
 
0.1%
9 19
 
< 0.1%
(Missing) 412040
93.3%
ValueCountFrequency (%)
1 5330
 
1.2%
2 23694
5.4%
7 373
 
0.1%
9 19
 
< 0.1%
ValueCountFrequency (%)
9 19
 
< 0.1%
7 373
 
0.1%
2 23694
5.4%
1 5330
 
1.2%

DIABEDU
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing412040
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean1.467024748
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:26.927523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6315952785
Coefficient of variation (CV)0.4305280324
Kurtosis33.75415612
Mean1.467024748
Median Absolute Deviation (MAD)0
Skewness3.73103216
Sum43154
Variance0.3989125958
MonotonicityNot monotonic
2024-06-18T20:12:26.967995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 16362
 
3.7%
2 12926
 
2.9%
7 106
 
< 0.1%
9 22
 
< 0.1%
(Missing) 412040
93.3%
ValueCountFrequency (%)
1 16362
3.7%
2 12926
2.9%
7 106
 
< 0.1%
9 22
 
< 0.1%
ValueCountFrequency (%)
9 22
 
< 0.1%
7 106
 
< 0.1%
2 12926
2.9%
1 16362
3.7%

PAINACT2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441456
Missing (%)100.0%
Memory size3.4 MiB

QLMENTL2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441456
Missing (%)100.0%
Memory size3.4 MiB

QLSTRES2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441456
Missing (%)100.0%
Memory size3.4 MiB

QLHLTH2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441456
Missing (%)100.0%
Memory size3.4 MiB

CAREGIV1
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing332461
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean1.808734346
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.006149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5970556484
Coefficient of variation (CV)0.3300958208
Kurtosis53.9230369
Mean1.808734346
Median Absolute Deviation (MAD)0
Skewness4.820791492
Sum197143
Variance0.3564754473
MonotonicityNot monotonic
2024-06-18T20:12:27.045181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 84412
 
19.1%
1 24034
 
5.4%
8 222
 
0.1%
7 217
 
< 0.1%
9 110
 
< 0.1%
(Missing) 332461
75.3%
ValueCountFrequency (%)
1 24034
 
5.4%
2 84412
19.1%
7 217
 
< 0.1%
8 222
 
0.1%
9 110
 
< 0.1%
ValueCountFrequency (%)
9 110
 
< 0.1%
8 222
 
0.1%
7 217
 
< 0.1%
2 84412
19.1%
1 24034
 
5.4%

CRGVREL1
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing417436
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean7.600999167
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.087762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q312
95-th percentile15
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.70465471
Coefficient of variation (CV)1.145198745
Kurtosis62.6461994
Mean7.600999167
Median Absolute Deviation (MAD)5
Skewness6.455753488
Sum182576
Variance75.77101362
MonotonicityNot monotonic
2024-06-18T20:12:27.129943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 5342
 
1.2%
15 3849
 
0.9%
6 2475
 
0.6%
5 2078
 
0.5%
2 1956
 
0.4%
14 1735
 
0.4%
7 1709
 
0.4%
10 1156
 
0.3%
3 967
 
0.2%
11 858
 
0.2%
Other values (7) 1895
 
0.4%
(Missing) 417436
94.6%
ValueCountFrequency (%)
1 5342
1.2%
2 1956
 
0.4%
3 967
 
0.2%
4 365
 
0.1%
5 2078
 
0.5%
ValueCountFrequency (%)
99 115
 
< 0.1%
77 43
 
< 0.1%
15 3849
0.9%
14 1735
0.4%
13 214
 
< 0.1%

CRGVLNG1
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing417461
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean3.361033549
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.167809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.540557343
Coefficient of variation (CV)0.4583582166
Kurtosis-0.711439474
Mean3.361033549
Median Absolute Deviation (MAD)1
Skewness-0.09849196521
Sum80648
Variance2.373316928
MonotonicityNot monotonic
2024-06-18T20:12:27.210047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6933
 
1.6%
4 5000
 
1.1%
1 4379
 
1.0%
3 4353
 
1.0%
2 2977
 
0.7%
7 293
 
0.1%
9 60
 
< 0.1%
(Missing) 417461
94.6%
ValueCountFrequency (%)
1 4379
1.0%
2 2977
0.7%
3 4353
1.0%
4 5000
1.1%
5 6933
1.6%
ValueCountFrequency (%)
9 60
 
< 0.1%
7 293
 
0.1%
5 6933
1.6%
4 5000
1.1%
3 4353
1.0%

CRGVHRS1
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing417493
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean2.212702917
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.250099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.724357886
Coefficient of variation (CV)0.7792993231
Kurtosis2.349389458
Mean2.212702917
Median Absolute Deviation (MAD)0
Skewness1.604352145
Sum53023
Variance2.973410117
MonotonicityNot monotonic
2024-06-18T20:12:27.291457image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 13103
 
3.0%
4 4243
 
1.0%
2 2927
 
0.7%
3 2285
 
0.5%
7 1203
 
0.3%
9 202
 
< 0.1%
(Missing) 417493
94.6%
ValueCountFrequency (%)
1 13103
3.0%
2 2927
 
0.7%
3 2285
 
0.5%
4 4243
 
1.0%
7 1203
 
0.3%
ValueCountFrequency (%)
9 202
 
< 0.1%
7 1203
 
0.3%
4 4243
1.0%
3 2285
0.5%
2 2927
0.7%

CRGVPRB1
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)0.1%
Missing417524
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean12.69609728
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.333858image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median11
Q313
95-th percentile13
Maximum99
Range98
Interquartile range (IQR)8

Descriptive statistics

Standard deviation17.40174242
Coefficient of variation (CV)1.370637137
Kurtosis15.72081034
Mean12.69609728
Median Absolute Deviation (MAD)2
Skewness4.010947889
Sum303843
Variance302.8206391
MonotonicityNot monotonic
2024-06-18T20:12:27.375654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
13 10620
 
2.4%
5 2331
 
0.5%
3 1910
 
0.4%
8 1679
 
0.4%
1 1473
 
0.3%
7 1328
 
0.3%
4 959
 
0.2%
10 915
 
0.2%
6 796
 
0.2%
11 571
 
0.1%
Other values (5) 1350
 
0.3%
(Missing) 417524
94.6%
ValueCountFrequency (%)
1 1473
0.3%
2 121
 
< 0.1%
3 1910
0.4%
4 959
0.2%
5 2331
0.5%
ValueCountFrequency (%)
99 570
 
0.1%
77 549
 
0.1%
13 10620
2.4%
12 73
 
< 0.1%
11 571
 
0.1%

CRGVPERS
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing417554
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean1.531796502
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.413477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7273729191
Coefficient of variation (CV)0.4748495756
Kurtosis46.23964962
Mean1.531796502
Median Absolute Deviation (MAD)0
Skewness4.97634882
Sum36613
Variance0.5290713635
MonotonicityNot monotonic
2024-06-18T20:12:27.453004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 12099
 
2.7%
2 11657
 
2.6%
9 89
 
< 0.1%
7 57
 
< 0.1%
(Missing) 417554
94.6%
ValueCountFrequency (%)
1 12099
2.7%
2 11657
2.6%
7 57
 
< 0.1%
9 89
 
< 0.1%
ValueCountFrequency (%)
9 89
 
< 0.1%
7 57
 
< 0.1%
2 11657
2.6%
1 12099
2.7%

CRGVHOUS
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing417571
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean1.260916893
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.491105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6748082566
Coefficient of variation (CV)0.5351726669
Kurtosis66.78711721
Mean1.260916893
Median Absolute Deviation (MAD)0
Skewness6.756700942
Sum30117
Variance0.4553661832
MonotonicityNot monotonic
2024-06-18T20:12:27.530389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 18523
 
4.2%
2 5218
 
1.2%
9 75
 
< 0.1%
7 69
 
< 0.1%
(Missing) 417571
94.6%
ValueCountFrequency (%)
1 18523
4.2%
2 5218
 
1.2%
7 69
 
< 0.1%
9 75
 
< 0.1%
ValueCountFrequency (%)
9 75
 
< 0.1%
7 69
 
< 0.1%
2 5218
 
1.2%
1 18523
4.2%

CRGVMST2
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing417634
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean5.496977584
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.568697image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median6
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.357496826
Coefficient of variation (CV)0.246953313
Kurtosis2.955755901
Mean5.496977584
Median Absolute Deviation (MAD)0
Skewness-1.921895903
Sum130949
Variance1.842797632
MonotonicityNot monotonic
2024-06-18T20:12:27.610778image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 19047
 
4.3%
2 1985
 
0.4%
5 643
 
0.1%
3 639
 
0.1%
7 575
 
0.1%
4 461
 
0.1%
1 319
 
0.1%
9 153
 
< 0.1%
(Missing) 417634
94.6%
ValueCountFrequency (%)
1 319
 
0.1%
2 1985
0.4%
3 639
 
0.1%
4 461
 
0.1%
5 643
 
0.1%
ValueCountFrequency (%)
9 153
 
< 0.1%
7 575
 
0.1%
6 19047
4.3%
5 643
 
0.1%
4 461
 
0.1%

CRGVEXPT
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing356769
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean2.220872153
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.650236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.41694791
Coefficient of variation (CV)0.6380141729
Kurtosis7.54006987
Mean2.220872153
Median Absolute Deviation (MAD)0
Skewness2.896269352
Sum188079
Variance2.007741379
MonotonicityNot monotonic
2024-06-18T20:12:27.688135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 65424
 
14.8%
1 12998
 
2.9%
7 6076
 
1.4%
9 189
 
< 0.1%
(Missing) 356769
80.8%
ValueCountFrequency (%)
1 12998
 
2.9%
2 65424
14.8%
7 6076
 
1.4%
9 189
 
< 0.1%
ValueCountFrequency (%)
9 189
 
< 0.1%
7 6076
 
1.4%
2 65424
14.8%
1 12998
 
2.9%

VIDFCLT2
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.3%
Missing438257
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.371991247
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.727107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8733656076
Coefficient of variation (CV)0.636567915
Kurtosis13.5944702
Mean1.371991247
Median Absolute Deviation (MAD)0
Skewness3.275147857
Sum4389
Variance0.7627674846
MonotonicityNot monotonic
2024-06-18T20:12:27.767744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2498
 
0.6%
2 415
 
0.1%
3 176
 
< 0.1%
4 56
 
< 0.1%
5 32
 
< 0.1%
6 10
 
< 0.1%
7 7
 
< 0.1%
8 5
 
< 0.1%
(Missing) 438257
99.3%
ValueCountFrequency (%)
1 2498
0.6%
2 415
 
0.1%
3 176
 
< 0.1%
4 56
 
< 0.1%
5 32
 
< 0.1%
ValueCountFrequency (%)
8 5
 
< 0.1%
7 7
 
< 0.1%
6 10
 
< 0.1%
5 32
< 0.1%
4 56
< 0.1%

VIREDIF3
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.2%
Missing438268
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.722710163
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.804287image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.076443694
Coefficient of variation (CV)0.6248547884
Kurtosis3.265047314
Mean1.722710163
Median Absolute Deviation (MAD)0
Skewness1.721750284
Sum5492
Variance1.158731027
MonotonicityNot monotonic
2024-06-18T20:12:27.842147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1888
 
0.4%
2 648
 
0.1%
3 415
 
0.1%
4 164
 
< 0.1%
5 45
 
< 0.1%
7 14
 
< 0.1%
6 14
 
< 0.1%
(Missing) 438268
99.3%
ValueCountFrequency (%)
1 1888
0.4%
2 648
 
0.1%
3 415
 
0.1%
4 164
 
< 0.1%
5 45
 
< 0.1%
ValueCountFrequency (%)
7 14
 
< 0.1%
6 14
 
< 0.1%
5 45
 
< 0.1%
4 164
 
< 0.1%
3 415
0.1%

VIPRFVS2
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.2%
Missing438268
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.402760351
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.879582image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.072059461
Coefficient of variation (CV)0.4461782716
Kurtosis2.393537934
Mean2.402760351
Median Absolute Deviation (MAD)0
Skewness1.155343492
Sum7660
Variance1.149311487
MonotonicityNot monotonic
2024-06-18T20:12:27.918401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1614
 
0.4%
4 522
 
0.1%
1 504
 
0.1%
3 480
 
0.1%
5 40
 
< 0.1%
7 26
 
< 0.1%
9 2
 
< 0.1%
(Missing) 438268
99.3%
ValueCountFrequency (%)
1 504
 
0.1%
2 1614
0.4%
3 480
 
0.1%
4 522
 
0.1%
5 40
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
7 26
 
< 0.1%
5 40
 
< 0.1%
4 522
0.1%
3 480
0.1%

VINOCRE2
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.9%
Missing440388
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean6.162921348
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:27.958105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile7
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.13694476
Coefficient of variation (CV)1.807088576
Kurtosis42.97295402
Mean6.162921348
Median Absolute Deviation (MAD)2
Skewness6.501111553
Sum6582
Variance124.0315386
MonotonicityNot monotonic
2024-06-18T20:12:27.998340image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 427
 
0.1%
7 259
 
0.1%
1 237
 
0.1%
6 80
 
< 0.1%
77 18
 
< 0.1%
3 17
 
< 0.1%
2 14
 
< 0.1%
4 10
 
< 0.1%
99 4
 
< 0.1%
8 2
 
< 0.1%
(Missing) 440388
99.8%
ValueCountFrequency (%)
1 237
0.1%
2 14
 
< 0.1%
3 17
 
< 0.1%
4 10
 
< 0.1%
5 427
0.1%
ValueCountFrequency (%)
99 4
 
< 0.1%
77 18
 
< 0.1%
8 2
 
< 0.1%
7 259
0.1%
6 80
 
< 0.1%

VIEYEXM2
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.3%
Missing438927
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.843020957
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.034460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.337547958
Coefficient of variation (CV)0.470467147
Kurtosis0.9501363599
Mean2.843020957
Median Absolute Deviation (MAD)1
Skewness0.9652849179
Sum7190
Variance1.789034541
MonotonicityNot monotonic
2024-06-18T20:12:28.075020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 1091
 
0.2%
4 549
 
0.1%
3 372
 
0.1%
1 258
 
0.1%
5 190
 
< 0.1%
7 66
 
< 0.1%
9 2
 
< 0.1%
8 1
 
< 0.1%
(Missing) 438927
99.4%
ValueCountFrequency (%)
1 258
 
0.1%
2 1091
0.2%
3 372
 
0.1%
4 549
0.1%
5 190
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 1
 
< 0.1%
7 66
 
< 0.1%
5 190
 
< 0.1%
4 549
0.1%

VIINSUR2
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)0.2%
Missing438275
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.595724615
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.113383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.066956798
Coefficient of variation (CV)0.6686346682
Kurtosis17.59361842
Mean1.595724615
Median Absolute Deviation (MAD)0
Skewness3.885100605
Sum5076
Variance1.13839681
MonotonicityNot monotonic
2024-06-18T20:12:28.153450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1756
 
0.4%
2 1332
 
0.3%
7 90
 
< 0.1%
9 2
 
< 0.1%
8 1
 
< 0.1%
(Missing) 438275
99.3%
ValueCountFrequency (%)
1 1756
0.4%
2 1332
0.3%
7 90
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 1
 
< 0.1%
7 90
 
< 0.1%
2 1332
0.3%
1 1756
0.4%

VICTRCT4
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing438278
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.419760856
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.190049image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8589617222
Coefficient of variation (CV)0.3549779393
Kurtosis1.759308642
Mean2.419760856
Median Absolute Deviation (MAD)0
Skewness-0.2051797932
Sum7690
Variance0.7378152402
MonotonicityNot monotonic
2024-06-18T20:12:28.224426image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 1939
 
0.4%
1 665
 
0.2%
2 562
 
0.1%
7 12
 
< 0.1%
(Missing) 438278
99.3%
ValueCountFrequency (%)
1 665
 
0.2%
2 562
 
0.1%
3 1939
0.4%
7 12
 
< 0.1%
ValueCountFrequency (%)
7 12
 
< 0.1%
3 1939
0.4%
2 562
 
0.1%
1 665
 
0.2%

VIGLUMA2
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.1%
Missing438278
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.954688483
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.258113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.395710054
Coefficient of variation (CV)0.2024414925
Kurtosis99.18330878
Mean1.954688483
Median Absolute Deviation (MAD)0
Skewness6.93288084
Sum6212
Variance0.1565864468
MonotonicityNot monotonic
2024-06-18T20:12:28.294169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2962
 
0.7%
1 204
 
< 0.1%
7 12
 
< 0.1%
(Missing) 438278
99.3%
ValueCountFrequency (%)
1 204
 
< 0.1%
2 2962
0.7%
7 12
 
< 0.1%
ValueCountFrequency (%)
7 12
 
< 0.1%
2 2962
0.7%
1 204
 
< 0.1%

VIMACDG2
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.1%
Missing438281
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.001574803
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.328713image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5979886804
Coefficient of variation (CV)0.2987590968
Kurtosis56.01099956
Mean2.001574803
Median Absolute Deviation (MAD)0
Skewness6.72230469
Sum6355
Variance0.3575904619
MonotonicityNot monotonic
2024-06-18T20:12:28.364229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2952
 
0.7%
1 185
 
< 0.1%
7 38
 
< 0.1%
(Missing) 438281
99.3%
ValueCountFrequency (%)
1 185
 
< 0.1%
2 2952
0.7%
7 38
 
< 0.1%
ValueCountFrequency (%)
7 38
 
< 0.1%
2 2952
0.7%
1 185
 
< 0.1%

CIMEMLOS
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing324727
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean1.941839646
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.400961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6051329721
Coefficient of variation (CV)0.3116287039
Kurtosis63.59339594
Mean1.941839646
Median Absolute Deviation (MAD)0
Skewness6.470871493
Sum226669
Variance0.3661859139
MonotonicityNot monotonic
2024-06-18T20:12:28.440049image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 103278
 
23.4%
1 12404
 
2.8%
7 857
 
0.2%
9 190
 
< 0.1%
(Missing) 324727
73.6%
ValueCountFrequency (%)
1 12404
 
2.8%
2 103278
23.4%
7 857
 
0.2%
9 190
 
< 0.1%
ValueCountFrequency (%)
9 190
 
< 0.1%
7 857
 
0.2%
2 103278
23.4%
1 12404
 
2.8%

CDHOUSE
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing428200
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean3.965298733
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.481028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.359988612
Coefficient of variation (CV)0.3429725485
Kurtosis0.2060139363
Mean3.965298733
Median Absolute Deviation (MAD)1
Skewness-0.4071583054
Sum52564
Variance1.849569024
MonotonicityNot monotonic
2024-06-18T20:12:28.521427image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6194
 
1.4%
3 3192
 
0.7%
4 1805
 
0.4%
1 929
 
0.2%
2 835
 
0.2%
7 255
 
0.1%
9 46
 
< 0.1%
(Missing) 428200
97.0%
ValueCountFrequency (%)
1 929
 
0.2%
2 835
 
0.2%
3 3192
0.7%
4 1805
 
0.4%
5 6194
1.4%
ValueCountFrequency (%)
9 46
 
< 0.1%
7 255
 
0.1%
5 6194
1.4%
4 1805
 
0.4%
3 3192
0.7%

CDASSIST
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing428215
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean4.051506684
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.560273image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.277118891
Coefficient of variation (CV)0.3152207291
Kurtosis0.3781233509
Mean4.051506684
Median Absolute Deviation (MAD)0
Skewness-0.7160330579
Sum53646
Variance1.631032662
MonotonicityNot monotonic
2024-06-18T20:12:28.600882image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6764
 
1.5%
3 2836
 
0.6%
4 1979
 
0.4%
1 821
 
0.2%
2 672
 
0.2%
7 142
 
< 0.1%
9 27
 
< 0.1%
(Missing) 428215
97.0%
ValueCountFrequency (%)
1 821
 
0.2%
2 672
 
0.2%
3 2836
0.6%
4 1979
 
0.4%
5 6764
1.5%
ValueCountFrequency (%)
9 27
 
< 0.1%
7 142
 
< 0.1%
5 6764
1.5%
4 1979
 
0.4%
3 2836
0.6%

CDHELP
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.2%
Missing437130
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.205501618
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.641376image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.294747866
Coefficient of variation (CV)0.5870536914
Kurtosis0.7763309745
Mean2.205501618
Median Absolute Deviation (MAD)1
Skewness1.001984844
Sum9541
Variance1.676372037
MonotonicityNot monotonic
2024-06-18T20:12:28.680491image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1777
 
0.4%
3 1051
 
0.2%
2 879
 
0.2%
4 318
 
0.1%
5 265
 
0.1%
7 34
 
< 0.1%
9 2
 
< 0.1%
(Missing) 437130
99.0%
ValueCountFrequency (%)
1 1777
0.4%
2 879
0.2%
3 1051
0.2%
4 318
 
0.1%
5 265
 
0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
7 34
 
< 0.1%
5 265
 
0.1%
4 318
 
0.1%
3 1051
0.2%

CDSOCIAL
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing428238
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean3.980859434
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.719415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.407245635
Coefficient of variation (CV)0.3535029704
Kurtosis0.09844990375
Mean3.980859434
Median Absolute Deviation (MAD)1
Skewness-0.6436409789
Sum52619
Variance1.980340277
MonotonicityNot monotonic
2024-06-18T20:12:28.759613image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6592
 
1.5%
3 2447
 
0.6%
4 1924
 
0.4%
1 1253
 
0.3%
2 743
 
0.2%
7 224
 
0.1%
9 35
 
< 0.1%
(Missing) 428238
97.0%
ValueCountFrequency (%)
1 1253
 
0.3%
2 743
 
0.2%
3 2447
 
0.6%
4 1924
 
0.4%
5 6592
1.5%
ValueCountFrequency (%)
9 35
 
< 0.1%
7 224
 
0.1%
5 6592
1.5%
4 1924
 
0.4%
3 2447
 
0.6%

CDDISCUS
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing428255
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean1.603136126
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.799287image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.735559474
Coefficient of variation (CV)0.4588253374
Kurtosis32.60679898
Mean1.603136126
Median Absolute Deviation (MAD)0
Skewness4.17351362
Sum21163
Variance0.5410477397
MonotonicityNot monotonic
2024-06-18T20:12:28.838901image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7220
 
1.6%
1 5863
 
1.3%
7 101
 
< 0.1%
9 17
 
< 0.1%
(Missing) 428255
97.0%
ValueCountFrequency (%)
1 5863
1.3%
2 7220
1.6%
7 101
 
< 0.1%
9 17
 
< 0.1%
ValueCountFrequency (%)
9 17
 
< 0.1%
7 101
 
< 0.1%
2 7220
1.6%
1 5863
1.3%

WTCHSALT
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing400157
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean1.413811472
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.876346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6690830211
Coefficient of variation (CV)0.4732476954
Kurtosis42.27288758
Mean1.413811472
Median Absolute Deviation (MAD)0
Skewness4.671366402
Sum58389
Variance0.4476720891
MonotonicityNot monotonic
2024-06-18T20:12:28.914218image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 25469
 
5.8%
2 15604
 
3.5%
7 161
 
< 0.1%
9 65
 
< 0.1%
(Missing) 400157
90.6%
ValueCountFrequency (%)
1 25469
5.8%
2 15604
3.5%
7 161
 
< 0.1%
9 65
 
< 0.1%
ValueCountFrequency (%)
9 65
 
< 0.1%
7 161
 
< 0.1%
2 15604
3.5%
1 25469
5.8%

LONGWTCH
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)0.6%
Missing415994
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean425.8975729
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:28.962499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile301
Q1402
median407
Q3420
95-th percentile777
Maximum999
Range898
Interquartile range (IQR)18

Descriptive statistics

Standard deviation122.0019491
Coefficient of variation (CV)0.2864584278
Kurtosis3.701745148
Mean425.8975729
Median Absolute Deviation (MAD)6
Skewness0.9133463231
Sum10844204
Variance14884.47559
MonotonicityNot monotonic
2024-06-18T20:12:29.013773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
555 2898
 
0.7%
410 2778
 
0.6%
405 2506
 
0.6%
402 2162
 
0.5%
401 1898
 
0.4%
420 1580
 
0.4%
403 1485
 
0.3%
777 1389
 
0.3%
415 898
 
0.2%
404 728
 
0.2%
Other values (139) 7140
 
1.6%
(Missing) 415994
94.2%
ValueCountFrequency (%)
101 299
0.1%
102 26
 
< 0.1%
103 35
 
< 0.1%
104 11
 
< 0.1%
105 26
 
< 0.1%
ValueCountFrequency (%)
999 56
 
< 0.1%
777 1389
0.3%
555 2898
0.7%
499 1
 
< 0.1%
483 1
 
< 0.1%

DRADVISE
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing400193
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean1.728909677
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.052096image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.641903215
Coefficient of variation (CV)0.3712763157
Kurtosis37.38039657
Mean1.728909677
Median Absolute Deviation (MAD)0
Skewness3.950478913
Sum71340
Variance0.4120397374
MonotonicityNot monotonic
2024-06-18T20:12:29.089906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 28429
 
6.4%
1 12572
 
2.8%
7 224
 
0.1%
9 38
 
< 0.1%
(Missing) 400193
90.7%
ValueCountFrequency (%)
1 12572
2.8%
2 28429
6.4%
7 224
 
0.1%
9 38
 
< 0.1%
ValueCountFrequency (%)
9 38
 
< 0.1%
7 224
 
0.1%
2 28429
6.4%
1 12572
2.8%

ASTHMAGE
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)7.3%
Missing440433
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean63.15151515
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.140213image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q130
median63
Q397
95-th percentile98
Maximum99
Range88
Interquartile range (IQR)67

Descriptive statistics

Standard deviation33.11471958
Coefficient of variation (CV)0.5243693599
Kurtosis-1.620628608
Mean63.15151515
Median Absolute Deviation (MAD)34
Skewness-0.193818067
Sum64604
Variance1096.584653
MonotonicityNot monotonic
2024-06-18T20:12:29.192929image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97 344
 
0.1%
98 89
 
< 0.1%
30 37
 
< 0.1%
40 37
 
< 0.1%
50 30
 
< 0.1%
12 27
 
< 0.1%
35 24
 
< 0.1%
25 20
 
< 0.1%
18 19
 
< 0.1%
16 17
 
< 0.1%
Other values (65) 379
 
0.1%
(Missing) 440433
99.8%
ValueCountFrequency (%)
11 13
< 0.1%
12 27
< 0.1%
13 15
< 0.1%
14 14
< 0.1%
15 15
< 0.1%
ValueCountFrequency (%)
99 5
 
< 0.1%
98 89
 
< 0.1%
97 344
0.1%
96 8
 
< 0.1%
90 2
 
< 0.1%

ASATTACK
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.5%
Missing440808
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.601851852
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.231388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8660501909
Coefficient of variation (CV)0.5406556105
Kurtosis23.02387368
Mean1.601851852
Median Absolute Deviation (MAD)0.5
Skewness4.015812149
Sum1038
Variance0.7500429332
MonotonicityNot monotonic
2024-06-18T20:12:29.269028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 324
 
0.1%
1 313
 
0.1%
7 11
 
< 0.1%
(Missing) 440808
99.9%
ValueCountFrequency (%)
1 313
0.1%
2 324
0.1%
7 11
 
< 0.1%
ValueCountFrequency (%)
7 11
 
< 0.1%
2 324
0.1%
1 313
0.1%

ASERVIST
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)3.5%
Missing441143
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean59.92971246
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.309728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median88
Q388
95-th percentile88
Maximum98
Range97
Interquartile range (IQR)85

Descriptive statistics

Standard deviation40.46256792
Coefficient of variation (CV)0.6751670626
Kurtosis-1.461915834
Mean59.92971246
Median Absolute Deviation (MAD)0
Skewness-0.7333651395
Sum18758
Variance1637.219403
MonotonicityNot monotonic
2024-06-18T20:12:29.349002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
88 205
 
< 0.1%
1 47
 
< 0.1%
2 30
 
< 0.1%
3 12
 
< 0.1%
4 10
 
< 0.1%
98 4
 
< 0.1%
18 1
 
< 0.1%
25 1
 
< 0.1%
7 1
 
< 0.1%
87 1
 
< 0.1%
(Missing) 441143
99.9%
ValueCountFrequency (%)
1 47
< 0.1%
2 30
< 0.1%
3 12
 
< 0.1%
4 10
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
98 4
 
< 0.1%
88 205
< 0.1%
87 1
 
< 0.1%
25 1
 
< 0.1%
18 1
 
< 0.1%

ASDRVIST
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)3.5%
Missing441144
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean54.33333333
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.387492image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median88
Q388
95-th percentile88
Maximum98
Range97
Interquartile range (IQR)85

Descriptive statistics

Standard deviation42.10931011
Coefficient of variation (CV)0.7750179775
Kurtosis-1.82180275
Mean54.33333333
Median Absolute Deviation (MAD)0
Skewness-0.4216628153
Sum16952
Variance1773.193998
MonotonicityNot monotonic
2024-06-18T20:12:29.430074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
88 179
 
< 0.1%
1 41
 
< 0.1%
2 35
 
< 0.1%
3 23
 
< 0.1%
4 13
 
< 0.1%
98 8
 
< 0.1%
6 5
 
< 0.1%
5 5
 
< 0.1%
12 1
 
< 0.1%
30 1
 
< 0.1%
(Missing) 441144
99.9%
ValueCountFrequency (%)
1 41
< 0.1%
2 35
< 0.1%
3 23
< 0.1%
4 13
 
< 0.1%
5 5
 
< 0.1%
ValueCountFrequency (%)
98 8
 
< 0.1%
88 179
< 0.1%
87 1
 
< 0.1%
30 1
 
< 0.1%
12 1
 
< 0.1%

ASRCHKUP
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)3.0%
Missing440812
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean34.61645963
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.472183image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation41.62164367
Coefficient of variation (CV)1.202365699
Kurtosis-1.702748454
Mean34.61645963
Median Absolute Deviation (MAD)3
Skewness0.5300761538
Sum22293
Variance1732.361222
MonotonicityNot monotonic
2024-06-18T20:12:29.513057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
88 218
 
< 0.1%
1 167
 
< 0.1%
2 110
 
< 0.1%
4 44
 
< 0.1%
3 37
 
< 0.1%
98 15
 
< 0.1%
6 13
 
< 0.1%
12 12
 
< 0.1%
5 11
 
< 0.1%
87 3
 
< 0.1%
Other values (9) 14
 
< 0.1%
(Missing) 440812
99.9%
ValueCountFrequency (%)
1 167
< 0.1%
2 110
< 0.1%
3 37
 
< 0.1%
4 44
 
< 0.1%
5 11
 
< 0.1%
ValueCountFrequency (%)
99 2
 
< 0.1%
98 15
 
< 0.1%
88 218
< 0.1%
87 3
 
< 0.1%
53 1
 
< 0.1%

ASACTLIM
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)4.0%
Missing440812
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean684.7375776
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.557062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q1777
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)111

Descriptive statistics

Standard deviation361.84152
Coefficient of variation (CV)0.5284382395
Kurtosis-0.2654674891
Mean684.7375776
Median Absolute Deviation (MAD)0
Skewness-1.29818702
Sum440971
Variance130929.2856
MonotonicityNot monotonic
2024-06-18T20:12:29.601246image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
888 451
 
0.1%
777 41
 
< 0.1%
2 23
 
< 0.1%
1 23
 
< 0.1%
3 15
 
< 0.1%
5 11
 
< 0.1%
4 10
 
< 0.1%
10 9
 
< 0.1%
14 8
 
< 0.1%
7 6
 
< 0.1%
Other values (16) 47
 
< 0.1%
(Missing) 440812
99.9%
ValueCountFrequency (%)
1 23
< 0.1%
2 23
< 0.1%
3 15
< 0.1%
4 10
< 0.1%
5 11
< 0.1%
ValueCountFrequency (%)
999 5
 
< 0.1%
888 451
0.1%
777 41
 
< 0.1%
365 5
 
< 0.1%
150 1
 
< 0.1%

ASYMPTOM
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)1.2%
Missing440815
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean4.258970359
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.639015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.757096219
Coefficient of variation (CV)0.6473621526
Kurtosis-1.502197983
Mean4.258970359
Median Absolute Deviation (MAD)2
Skewness0.3557718503
Sum2730
Variance7.601579563
MonotonicityNot monotonic
2024-06-18T20:12:29.680440image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 183
 
< 0.1%
2 137
 
< 0.1%
1 114
 
< 0.1%
4 73
 
< 0.1%
3 73
 
< 0.1%
5 33
 
< 0.1%
7 25
 
< 0.1%
9 3
 
< 0.1%
(Missing) 440815
99.9%
ValueCountFrequency (%)
1 114
< 0.1%
2 137
< 0.1%
3 73
< 0.1%
4 73
< 0.1%
5 33
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 183
< 0.1%
7 25
 
< 0.1%
5 33
 
< 0.1%
4 73
 
< 0.1%

ASNOSLEP
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.5%
Missing440999
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean5.448577681
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.721712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.826504248
Coefficient of variation (CV)0.5187600165
Kurtosis-1.468490375
Mean5.448577681
Median Absolute Deviation (MAD)1
Skewness-0.4639882827
Sum2490
Variance7.989126262
MonotonicityNot monotonic
2024-06-18T20:12:29.760876image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 223
 
0.1%
1 70
 
< 0.1%
5 49
 
< 0.1%
2 47
 
< 0.1%
4 29
 
< 0.1%
3 23
 
< 0.1%
7 16
 
< 0.1%
(Missing) 440999
99.9%
ValueCountFrequency (%)
1 70
< 0.1%
2 47
< 0.1%
3 23
 
< 0.1%
4 29
< 0.1%
5 49
< 0.1%
ValueCountFrequency (%)
8 223
0.1%
7 16
 
< 0.1%
5 49
 
< 0.1%
4 29
 
< 0.1%
3 23
 
< 0.1%

ASTHMED3
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.9%
Missing440817
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean4.361502347
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.798745image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.836034628
Coefficient of variation (CV)0.6502426004
Kurtosis-1.576442185
Mean4.361502347
Median Absolute Deviation (MAD)2
Skewness0.3556544389
Sum2787
Variance8.04309241
MonotonicityNot monotonic
2024-06-18T20:12:29.838205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 243
 
0.1%
8 214
 
< 0.1%
1 128
 
< 0.1%
2 34
 
< 0.1%
7 15
 
< 0.1%
9 5
 
< 0.1%
(Missing) 440817
99.9%
ValueCountFrequency (%)
1 128
< 0.1%
2 34
 
< 0.1%
3 243
0.1%
7 15
 
< 0.1%
8 214
< 0.1%
ValueCountFrequency (%)
9 5
 
< 0.1%
8 214
< 0.1%
7 15
 
< 0.1%
3 243
0.1%
2 34
 
< 0.1%

ASINHALR
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)1.4%
Missing440817
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean4.982785603
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.876539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median6
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.147574735
Coefficient of variation (CV)0.6316897787
Kurtosis-1.790671255
Mean4.982785603
Median Absolute Deviation (MAD)2
Skewness-0.209478119
Sum3184
Variance9.907226711
MonotonicityNot monotonic
2024-06-18T20:12:29.918905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 305
 
0.1%
1 179
 
< 0.1%
2 49
 
< 0.1%
4 46
 
< 0.1%
3 29
 
< 0.1%
5 12
 
< 0.1%
7 10
 
< 0.1%
6 5
 
< 0.1%
9 4
 
< 0.1%
(Missing) 440817
99.9%
ValueCountFrequency (%)
1 179
< 0.1%
2 49
 
< 0.1%
3 29
 
< 0.1%
4 46
 
< 0.1%
5 12
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 305
0.1%
7 10
 
< 0.1%
6 5
 
< 0.1%
5 12
 
< 0.1%

HAREHAB1
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.4%
Missing440445
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.692383778
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:29.957529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9180971255
Coefficient of variation (CV)0.5424875475
Kurtosis32.23941424
Mean1.692383778
Median Absolute Deviation (MAD)0
Skewness4.768973645
Sum1711
Variance0.8429023318
MonotonicityNot monotonic
2024-06-18T20:12:29.996105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 592
 
0.1%
1 403
 
0.1%
7 10
 
< 0.1%
9 6
 
< 0.1%
(Missing) 440445
99.8%
ValueCountFrequency (%)
1 403
0.1%
2 592
0.1%
7 10
 
< 0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
9 6
 
< 0.1%
7 10
 
< 0.1%
2 592
0.1%
1 403
0.1%

STREHAB1
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.6%
Missing440762
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.691642651
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.033075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8200337228
Coefficient of variation (CV)0.4847558804
Kurtosis37.51894112
Mean1.691642651
Median Absolute Deviation (MAD)0
Skewness4.843122647
Sum1174
Variance0.6724553065
MonotonicityNot monotonic
2024-06-18T20:12:30.073112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 426
 
0.1%
1 260
 
0.1%
7 5
 
< 0.1%
9 3
 
< 0.1%
(Missing) 440762
99.8%
ValueCountFrequency (%)
1 260
0.1%
2 426
0.1%
7 5
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
7 5
 
< 0.1%
2 426
0.1%
1 260
0.1%

CVDASPRN
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing422658
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean1.709011597
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.111727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5078672145
Coefficient of variation (CV)0.2971701394
Kurtosis23.93189138
Mean1.709011597
Median Absolute Deviation (MAD)0
Skewness1.488837931
Sum32126
Variance0.2579291076
MonotonicityNot monotonic
2024-06-18T20:12:30.152100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 13150
 
3.0%
1 5620
 
1.3%
7 23
 
< 0.1%
9 5
 
< 0.1%
(Missing) 422658
95.7%
ValueCountFrequency (%)
1 5620
1.3%
2 13150
3.0%
7 23
 
< 0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
9 5
 
< 0.1%
7 23
 
< 0.1%
2 13150
3.0%
1 5620
1.3%

ASPUNSAF
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing428279
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean2.848827502
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.190467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6930604269
Coefficient of variation (CV)0.2432791829
Kurtosis17.22071428
Mean2.848827502
Median Absolute Deviation (MAD)0
Skewness0.9672006276
Sum37539
Variance0.4803327554
MonotonicityNot monotonic
2024-06-18T20:12:30.230503image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 11518
 
2.6%
1 967
 
0.2%
2 570
 
0.1%
7 110
 
< 0.1%
9 12
 
< 0.1%
(Missing) 428279
97.0%
ValueCountFrequency (%)
1 967
 
0.2%
2 570
 
0.1%
3 11518
2.6%
7 110
 
< 0.1%
9 12
 
< 0.1%
ValueCountFrequency (%)
9 12
 
< 0.1%
7 110
 
< 0.1%
3 11518
2.6%
2 570
 
0.1%
1 967
 
0.2%

RLIVPAIN
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing435837
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.818117103
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.269605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5539777643
Coefficient of variation (CV)0.3046986156
Kurtosis45.833325
Mean1.818117103
Median Absolute Deviation (MAD)0
Skewness4.022459051
Sum10216
Variance0.3068913633
MonotonicityNot monotonic
2024-06-18T20:12:30.308836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 4429
 
1.0%
1 1163
 
0.3%
7 24
 
< 0.1%
9 3
 
< 0.1%
(Missing) 435837
98.7%
ValueCountFrequency (%)
1 1163
 
0.3%
2 4429
1.0%
7 24
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
7 24
 
< 0.1%
2 4429
1.0%
1 1163
 
0.3%

RDUCHART
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing435837
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.30307884
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.345885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.005755663
Coefficient of variation (CV)0.7718302469
Kurtosis24.79740106
Mean1.30307884
Median Absolute Deviation (MAD)0
Skewness4.894260163
Sum7322
Variance1.011544453
MonotonicityNot monotonic
2024-06-18T20:12:30.384968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4663
 
1.1%
2 807
 
0.2%
7 148
 
< 0.1%
9 1
 
< 0.1%
(Missing) 435837
98.7%
ValueCountFrequency (%)
1 4663
1.1%
2 807
 
0.2%
7 148
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 148
 
< 0.1%
2 807
 
0.2%
1 4663
1.1%

RDUCSTRK
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing435838
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.716091136
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.422734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.573218385
Coefficient of variation (CV)0.916745243
Kurtosis6.871020913
Mean1.716091136
Median Absolute Deviation (MAD)0
Skewness2.834624638
Sum9641
Variance2.475016087
MonotonicityNot monotonic
2024-06-18T20:12:30.461917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3710
 
0.8%
2 1487
 
0.3%
7 416
 
0.1%
9 5
 
< 0.1%
(Missing) 435838
98.7%
ValueCountFrequency (%)
1 3710
0.8%
2 1487
0.3%
7 416
 
0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
9 5
 
< 0.1%
7 416
 
0.1%
2 1487
0.3%
1 3710
0.8%

ARTTODAY
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing421769
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean2.242495047
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.499815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001936777
Coefficient of variation (CV)0.4467955363
Kurtosis5.135684729
Mean2.242495047
Median Absolute Deviation (MAD)1
Skewness1.296378527
Sum44148
Variance1.003877306
MonotonicityNot monotonic
2024-06-18T20:12:30.540392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 8382
 
1.9%
3 4862
 
1.1%
1 4483
 
1.0%
4 1829
 
0.4%
7 90
 
< 0.1%
9 41
 
< 0.1%
(Missing) 421769
95.5%
ValueCountFrequency (%)
1 4483
1.0%
2 8382
1.9%
3 4862
1.1%
4 1829
 
0.4%
7 90
 
< 0.1%
ValueCountFrequency (%)
9 41
 
< 0.1%
7 90
 
< 0.1%
4 1829
 
0.4%
3 4862
1.1%
2 8382
1.9%

ARTHWGT
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing421781
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean1.677865311
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.578340image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6917480154
Coefficient of variation (CV)0.4122786321
Kurtosis37.84401739
Mean1.677865311
Median Absolute Deviation (MAD)0
Skewness4.236353069
Sum33012
Variance0.4785153168
MonotonicityNot monotonic
2024-06-18T20:12:30.616781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 12419
 
2.8%
1 7114
 
1.6%
7 109
 
< 0.1%
9 33
 
< 0.1%
(Missing) 421781
95.5%
ValueCountFrequency (%)
1 7114
1.6%
2 12419
2.8%
7 109
 
< 0.1%
9 33
 
< 0.1%
ValueCountFrequency (%)
9 33
 
< 0.1%
7 109
 
< 0.1%
2 12419
2.8%
1 7114
1.6%

ARTHEXER
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing421786
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean1.493695984
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.653817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8182398253
Coefficient of variation (CV)0.5477954244
Kurtosis31.9484018
Mean1.493695984
Median Absolute Deviation (MAD)0
Skewness4.617385363
Sum29381
Variance0.6695164117
MonotonicityNot monotonic
2024-06-18T20:12:30.692402image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 11248
 
2.5%
2 8179
 
1.9%
7 206
 
< 0.1%
9 37
 
< 0.1%
(Missing) 421786
95.5%
ValueCountFrequency (%)
1 11248
2.5%
2 8179
1.9%
7 206
 
< 0.1%
9 37
 
< 0.1%
ValueCountFrequency (%)
9 37
 
< 0.1%
7 206
 
< 0.1%
2 8179
1.9%
1 11248
2.5%

ARTHEDU
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing421796
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean1.897202442
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.730206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5290890302
Coefficient of variation (CV)0.2788785312
Kurtosis77.15517616
Mean1.897202442
Median Absolute Deviation (MAD)0
Skewness6.119890895
Sum37299
Variance0.2799352019
MonotonicityNot monotonic
2024-06-18T20:12:30.767857image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 16997
 
3.9%
1 2566
 
0.6%
7 67
 
< 0.1%
9 30
 
< 0.1%
(Missing) 421796
95.5%
ValueCountFrequency (%)
1 2566
 
0.6%
2 16997
3.9%
7 67
 
< 0.1%
9 30
 
< 0.1%
ValueCountFrequency (%)
9 30
 
< 0.1%
7 67
 
< 0.1%
2 16997
3.9%
1 2566
 
0.6%

TETANUS
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing400869
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean3.435188607
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.805187image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.597658376
Coefficient of variation (CV)0.465086072
Kurtosis0.452910267
Mean3.435188607
Median Absolute Deviation (MAD)1
Skewness0.5245943017
Sum139424
Variance2.552512286
MonotonicityNot monotonic
2024-06-18T20:12:30.846301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 17243
 
3.9%
3 9896
 
2.2%
1 6449
 
1.5%
7 4034
 
0.9%
2 2944
 
0.7%
9 21
 
< 0.1%
(Missing) 400869
90.8%
ValueCountFrequency (%)
1 6449
 
1.5%
2 2944
 
0.7%
3 9896
2.2%
4 17243
3.9%
7 4034
 
0.9%
ValueCountFrequency (%)
9 21
 
< 0.1%
7 4034
 
0.9%
4 17243
3.9%
3 9896
2.2%
2 2944
 
0.7%

HPVADVC2
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing430533
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean2.35347432
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.885979image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.572057194
Coefficient of variation (CV)0.667972954
Kurtosis5.062659526
Mean2.35347432
Median Absolute Deviation (MAD)0
Skewness2.519127208
Sum25707
Variance2.471363821
MonotonicityNot monotonic
2024-06-18T20:12:30.926021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 8414
 
1.9%
1 1448
 
0.3%
7 1017
 
0.2%
9 30
 
< 0.1%
3 14
 
< 0.1%
(Missing) 430533
97.5%
ValueCountFrequency (%)
1 1448
 
0.3%
2 8414
1.9%
3 14
 
< 0.1%
7 1017
 
0.2%
9 30
 
< 0.1%
ValueCountFrequency (%)
9 30
 
< 0.1%
7 1017
 
0.2%
3 14
 
< 0.1%
2 8414
1.9%
1 1448
 
0.3%

HPVADSHT
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)0.3%
Missing440008
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean14.02071823
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:30.965793image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.10594253
Coefficient of variation (CV)1.933277745
Kurtosis1.693524884
Mean14.02071823
Median Absolute Deviation (MAD)0
Skewness1.915279389
Sum20302
Variance734.7321206
MonotonicityNot monotonic
2024-06-18T20:12:31.003971image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 789
 
0.2%
1 249
 
0.1%
77 221
 
0.1%
2 186
 
< 0.1%
99 3
 
< 0.1%
(Missing) 440008
99.7%
ValueCountFrequency (%)
1 249
 
0.1%
2 186
 
< 0.1%
3 789
0.2%
77 221
 
0.1%
99 3
 
< 0.1%
ValueCountFrequency (%)
99 3
 
< 0.1%
77 221
 
0.1%
3 789
0.2%
2 186
 
< 0.1%
1 249
 
0.1%

SHINGLE2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing413397
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean1.804340853
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.039507image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8208608321
Coefficient of variation (CV)0.4549366771
Kurtosis26.45146975
Mean1.804340853
Median Absolute Deviation (MAD)0
Skewness4.218177429
Sum50628
Variance0.6738125057
MonotonicityNot monotonic
2024-06-18T20:12:31.079028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 19719
 
4.5%
1 7870
 
1.8%
7 455
 
0.1%
9 15
 
< 0.1%
(Missing) 413397
93.6%
ValueCountFrequency (%)
1 7870
 
1.8%
2 19719
4.5%
7 455
 
0.1%
9 15
 
< 0.1%
ValueCountFrequency (%)
9 15
 
< 0.1%
7 455
 
0.1%
2 19719
4.5%
1 7870
 
1.8%

HADMAM
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing418643
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.207381756
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.116439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5568613397
Coefficient of variation (CV)0.4612139756
Kurtosis82.85741735
Mean1.207381756
Median Absolute Deviation (MAD)0
Skewness7.048438658
Sum27544
Variance0.3100945517
MonotonicityNot monotonic
2024-06-18T20:12:31.154391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 18545
 
4.2%
2 4191
 
0.9%
9 39
 
< 0.1%
7 38
 
< 0.1%
(Missing) 418643
94.8%
ValueCountFrequency (%)
1 18545
4.2%
2 4191
 
0.9%
7 38
 
< 0.1%
9 39
 
< 0.1%
ValueCountFrequency (%)
9 39
 
< 0.1%
7 38
 
< 0.1%
2 4191
 
0.9%
1 18545
4.2%

HOWLONG
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing422914
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean1.854438572
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.192660image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.368671204
Coefficient of variation (CV)0.7380515187
Kurtosis2.056237173
Mean1.854438572
Median Absolute Deviation (MAD)0
Skewness1.669603612
Sum34385
Variance1.873260865
MonotonicityNot monotonic
2024-06-18T20:12:31.234048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 11413
 
2.6%
2 3194
 
0.7%
5 1550
 
0.4%
3 1256
 
0.3%
4 955
 
0.2%
7 160
 
< 0.1%
9 14
 
< 0.1%
(Missing) 422914
95.8%
ValueCountFrequency (%)
1 11413
2.6%
2 3194
 
0.7%
3 1256
 
0.3%
4 955
 
0.2%
5 1550
 
0.4%
ValueCountFrequency (%)
9 14
 
< 0.1%
7 160
 
< 0.1%
5 1550
0.4%
4 955
0.2%
3 1256
0.3%

HADPAP2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing418654
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.106174897
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.274080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5946986893
Coefficient of variation (CV)0.5376172348
Kurtosis103.4124436
Mean1.106174897
Median Absolute Deviation (MAD)0
Skewness9.510581099
Sum25223
Variance0.3536665311
MonotonicityNot monotonic
2024-06-18T20:12:31.312977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 21271
 
4.8%
2 1369
 
0.3%
7 122
 
< 0.1%
9 40
 
< 0.1%
(Missing) 418654
94.8%
ValueCountFrequency (%)
1 21271
4.8%
2 1369
 
0.3%
7 122
 
< 0.1%
9 40
 
< 0.1%
ValueCountFrequency (%)
9 40
 
< 0.1%
7 122
 
< 0.1%
2 1369
 
0.3%
1 21271
4.8%

LASTPAP2
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing420189
Missing (%)95.2%
Infinite0
Infinite (%)0.0%
Mean2.603893356
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.352207image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.722265791
Coefficient of variation (CV)0.6614194807
Kurtosis-0.7404530829
Mean2.603893356
Median Absolute Deviation (MAD)1
Skewness0.7017651668
Sum55377
Variance2.966199456
MonotonicityNot monotonic
2024-06-18T20:12:31.392116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 8592
 
1.9%
5 4543
 
1.0%
2 3936
 
0.9%
3 2126
 
0.5%
4 1568
 
0.4%
7 485
 
0.1%
9 17
 
< 0.1%
(Missing) 420189
95.2%
ValueCountFrequency (%)
1 8592
1.9%
2 3936
0.9%
3 2126
 
0.5%
4 1568
 
0.4%
5 4543
1.0%
ValueCountFrequency (%)
9 17
 
< 0.1%
7 485
 
0.1%
5 4543
1.0%
4 1568
 
0.4%
3 2126
0.5%

HPVTEST
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing418667
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean3.142437141
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.432058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.501041112
Coefficient of variation (CV)0.7958921691
Kurtosis-1.136830311
Mean3.142437141
Median Absolute Deviation (MAD)1
Skewness0.8473653549
Sum71613
Variance6.255206646
MonotonicityNot monotonic
2024-06-18T20:12:31.471982image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 9310
 
2.1%
1 6909
 
1.6%
7 6523
 
1.5%
9 47
 
< 0.1%
(Missing) 418667
94.8%
ValueCountFrequency (%)
1 6909
1.6%
2 9310
2.1%
7 6523
1.5%
9 47
 
< 0.1%
ValueCountFrequency (%)
9 47
 
< 0.1%
7 6523
1.5%
2 9310
2.1%
1 6909
1.6%

HPLSTTST
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing434549
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean2.559866802
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.511543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.839726174
Coefficient of variation (CV)0.71868043
Kurtosis-0.3188354568
Mean2.559866802
Median Absolute Deviation (MAD)1
Skewness0.9301364536
Sum17681
Variance3.384592395
MonotonicityNot monotonic
2024-06-18T20:12:31.550868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 3075
 
0.7%
2 1203
 
0.3%
5 1159
 
0.3%
3 612
 
0.1%
4 481
 
0.1%
7 374
 
0.1%
9 3
 
< 0.1%
(Missing) 434549
98.4%
ValueCountFrequency (%)
1 3075
0.7%
2 1203
 
0.3%
3 612
 
0.1%
4 481
 
0.1%
5 1159
 
0.3%
ValueCountFrequency (%)
9 3
 
< 0.1%
7 374
 
0.1%
5 1159
0.3%
4 481
0.1%
3 612
0.1%

HADHYST2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing418889
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean1.747861922
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.587524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6258676274
Coefficient of variation (CV)0.3580761269
Kurtosis52.17195657
Mean1.747861922
Median Absolute Deviation (MAD)0
Skewness4.653477119
Sum39444
Variance0.3917102871
MonotonicityNot monotonic
2024-06-18T20:12:31.625139image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 16133
 
3.7%
1 6328
 
1.4%
9 54
 
< 0.1%
7 52
 
< 0.1%
(Missing) 418889
94.9%
ValueCountFrequency (%)
1 6328
 
1.4%
2 16133
3.7%
7 52
 
< 0.1%
9 54
 
< 0.1%
ValueCountFrequency (%)
9 54
 
< 0.1%
7 52
 
< 0.1%
2 16133
3.7%
1 6328
 
1.4%

PROFEXAM
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing435811
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.145615589
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.661213image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5083121948
Coefficient of variation (CV)0.4437022328
Kurtosis102.3404721
Mean1.145615589
Median Absolute Deviation (MAD)0
Skewness8.27452553
Sum6467
Variance0.2583812874
MonotonicityNot monotonic
2024-06-18T20:12:31.700271image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4935
 
1.1%
2 690
 
0.2%
7 14
 
< 0.1%
9 6
 
< 0.1%
(Missing) 435811
98.7%
ValueCountFrequency (%)
1 4935
1.1%
2 690
 
0.2%
7 14
 
< 0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
9 6
 
< 0.1%
7 14
 
< 0.1%
2 690
 
0.2%
1 4935
1.1%

LENGEXAM
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing436523
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean1.87330225
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.738839image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.397760193
Coefficient of variation (CV)0.7461477149
Kurtosis1.98778393
Mean1.87330225
Median Absolute Deviation (MAD)0
Skewness1.660505107
Sum9241
Variance1.953733558
MonotonicityNot monotonic
2024-06-18T20:12:31.778000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 3029
 
0.7%
2 840
 
0.2%
5 447
 
0.1%
3 338
 
0.1%
4 226
 
0.1%
7 49
 
< 0.1%
9 4
 
< 0.1%
(Missing) 436523
98.9%
ValueCountFrequency (%)
1 3029
0.7%
2 840
 
0.2%
3 338
 
0.1%
4 226
 
0.1%
5 447
 
0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
7 49
 
< 0.1%
5 447
0.1%
4 226
0.1%
3 338
0.1%

BLDSTOOL
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing387081
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean1.68365977
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.814704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7171097282
Coefficient of variation (CV)0.4259231829
Kurtosis32.3005567
Mean1.68365977
Median Absolute Deviation (MAD)0
Skewness4.074072198
Sum91549
Variance0.5142463623
MonotonicityNot monotonic
2024-06-18T20:12:31.854033image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 34100
 
7.7%
1 19780
 
4.5%
7 443
 
0.1%
9 52
 
< 0.1%
(Missing) 387081
87.7%
ValueCountFrequency (%)
1 19780
4.5%
2 34100
7.7%
7 443
 
0.1%
9 52
 
< 0.1%
ValueCountFrequency (%)
9 52
 
< 0.1%
7 443
 
0.1%
2 34100
7.7%
1 19780
4.5%

LSTBLDS3
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing421679
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean3.263133943
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.891825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.774969958
Coefficient of variation (CV)0.5439463991
Kurtosis-1.269156971
Mean3.263133943
Median Absolute Deviation (MAD)2
Skewness0.02659010156
Sum64535
Variance3.150518353
MonotonicityNot monotonic
2024-06-18T20:12:31.931731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6899
 
1.6%
1 5324
 
1.2%
2 2683
 
0.6%
4 2351
 
0.5%
3 1932
 
0.4%
7 571
 
0.1%
9 17
 
< 0.1%
(Missing) 421679
95.5%
ValueCountFrequency (%)
1 5324
1.2%
2 2683
 
0.6%
3 1932
 
0.4%
4 2351
 
0.5%
5 6899
1.6%
ValueCountFrequency (%)
9 17
 
< 0.1%
7 571
 
0.1%
5 6899
1.6%
4 2351
 
0.5%
3 1932
 
0.4%

HADSIGM3
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing387113
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean1.305356716
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:31.969897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6394596087
Coefficient of variation (CV)0.4898734584
Kurtosis49.54041855
Mean1.305356716
Median Absolute Deviation (MAD)0
Skewness5.399227043
Sum70937
Variance0.4089085911
MonotonicityNot monotonic
2024-06-18T20:12:32.009742image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 39382
 
8.9%
2 14660
 
3.3%
7 237
 
0.1%
9 64
 
< 0.1%
(Missing) 387113
87.7%
ValueCountFrequency (%)
1 39382
8.9%
2 14660
 
3.3%
7 237
 
0.1%
9 64
 
< 0.1%
ValueCountFrequency (%)
9 64
 
< 0.1%
7 237
 
0.1%
2 14660
 
3.3%
1 39382
8.9%

HADSGCO1
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing402095
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean2.066080638
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.047538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7536686065
Coefficient of variation (CV)0.3647817963
Kurtosis38.6244208
Mean2.066080638
Median Absolute Deviation (MAD)0
Skewness6.022760044
Sum81323
Variance0.5680163684
MonotonicityNot monotonic
2024-06-18T20:12:32.085376image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 37016
 
8.4%
1 1529
 
0.3%
7 791
 
0.2%
9 25
 
< 0.1%
(Missing) 402095
91.1%
ValueCountFrequency (%)
1 1529
 
0.3%
2 37016
8.4%
7 791
 
0.2%
9 25
 
< 0.1%
ValueCountFrequency (%)
9 25
 
< 0.1%
7 791
 
0.2%
2 37016
8.4%
1 1529
 
0.3%

LASTSIG3
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing402098
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean3.259896336
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.122918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.659711996
Coefficient of variation (CV)0.5091302989
Kurtosis-1.022448744
Mean3.259896336
Median Absolute Deviation (MAD)1
Skewness0.1078569728
Sum128303
Variance2.75464391
MonotonicityNot monotonic
2024-06-18T20:12:32.163068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 8465
 
1.9%
4 8376
 
1.9%
5 7394
 
1.7%
2 6161
 
1.4%
3 5780
 
1.3%
6 2636
 
0.6%
7 514
 
0.1%
9 32
 
< 0.1%
(Missing) 402098
91.1%
ValueCountFrequency (%)
1 8465
1.9%
2 6161
1.4%
3 5780
1.3%
4 8376
1.9%
5 7394
1.7%
ValueCountFrequency (%)
9 32
 
< 0.1%
7 514
 
0.1%
6 2636
 
0.6%
5 7394
1.7%
4 8376
1.9%

PCPSAAD2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing434829
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1.637543383
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.200321image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.280079043
Coefficient of variation (CV)0.7817069494
Kurtosis13.93141561
Mean1.637543383
Median Absolute Deviation (MAD)0
Skewness3.634313549
Sum10852
Variance1.638602355
MonotonicityNot monotonic
2024-06-18T20:12:32.239354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3884
 
0.9%
2 2459
 
0.6%
7 253
 
0.1%
9 31
 
< 0.1%
(Missing) 434829
98.5%
ValueCountFrequency (%)
1 3884
0.9%
2 2459
0.6%
7 253
 
0.1%
9 31
 
< 0.1%
ValueCountFrequency (%)
9 31
 
< 0.1%
7 253
 
0.1%
2 2459
0.6%
1 3884
0.9%

PCPSADI1
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing434836
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1.969637462
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.276321image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.24665421
Coefficient of variation (CV)0.6329358745
Kurtosis12.69397819
Mean1.969637462
Median Absolute Deviation (MAD)0
Skewness3.442048438
Sum13039
Variance1.554146719
MonotonicityNot monotonic
2024-06-18T20:12:32.316395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 4487
 
1.0%
1 1820
 
0.4%
7 286
 
0.1%
9 27
 
< 0.1%
(Missing) 434836
98.5%
ValueCountFrequency (%)
1 1820
0.4%
2 4487
1.0%
7 286
 
0.1%
9 27
 
< 0.1%
ValueCountFrequency (%)
9 27
 
< 0.1%
7 286
 
0.1%
2 4487
1.0%
1 1820
0.4%

PCPSARE1
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing434841
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1.693575208
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.354372image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.256965891
Coefficient of variation (CV)0.7421966768
Kurtosis14.36252001
Mean1.693575208
Median Absolute Deviation (MAD)0
Skewness3.636663028
Sum11203
Variance1.579963252
MonotonicityNot monotonic
2024-06-18T20:12:32.394698image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3455
 
0.8%
2 2888
 
0.7%
7 238
 
0.1%
9 34
 
< 0.1%
(Missing) 434841
98.5%
ValueCountFrequency (%)
1 3455
0.8%
2 2888
0.7%
7 238
 
0.1%
9 34
 
< 0.1%
ValueCountFrequency (%)
9 34
 
< 0.1%
7 238
 
0.1%
2 2888
0.7%
1 3455
0.8%

PSATEST1
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing434841
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1.682993197
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.432987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.293504319
Coefficient of variation (CV)0.7685737059
Kurtosis13.07197033
Mean1.682993197
Median Absolute Deviation (MAD)0
Skewness3.523571885
Sum11133
Variance1.673153422
MonotonicityNot monotonic
2024-06-18T20:12:32.473121image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3635
 
0.8%
2 2684
 
0.6%
7 267
 
0.1%
9 29
 
< 0.1%
(Missing) 434841
98.5%
ValueCountFrequency (%)
1 3635
0.8%
2 2684
0.6%
7 267
 
0.1%
9 29
 
< 0.1%
ValueCountFrequency (%)
9 29
 
< 0.1%
7 267
 
0.1%
2 2684
0.6%
1 3635
0.8%

PSATIME
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.2%
Missing437822
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean1.910016511
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.511794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.498101873
Coefficient of variation (CV)0.7843397501
Kurtosis2.311792325
Mean1.910016511
Median Absolute Deviation (MAD)0
Skewness1.730375607
Sum6941
Variance2.244309221
MonotonicityNot monotonic
2024-06-18T20:12:32.552650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 2287
 
0.5%
2 523
 
0.1%
5 295
 
0.1%
3 239
 
0.1%
4 208
 
< 0.1%
7 77
 
< 0.1%
9 5
 
< 0.1%
(Missing) 437822
99.2%
ValueCountFrequency (%)
1 2287
0.5%
2 523
 
0.1%
3 239
 
0.1%
4 208
 
< 0.1%
5 295
 
0.1%
ValueCountFrequency (%)
9 5
 
< 0.1%
7 77
 
< 0.1%
5 295
0.1%
4 208
< 0.1%
3 239
0.1%

PCPSARS1
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.2%
Missing437825
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean1.702010465
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.592018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.378462365
Coefficient of variation (CV)0.8099024024
Kurtosis3.020478663
Mean1.702010465
Median Absolute Deviation (MAD)0
Skewness1.948717624
Sum6180
Variance1.900158491
MonotonicityNot monotonic
2024-06-18T20:12:32.633580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 2689
 
0.6%
5 316
 
0.1%
2 256
 
0.1%
3 176
 
< 0.1%
4 167
 
< 0.1%
7 20
 
< 0.1%
9 7
 
< 0.1%
(Missing) 437825
99.2%
ValueCountFrequency (%)
1 2689
0.6%
2 256
 
0.1%
3 176
 
< 0.1%
4 167
 
< 0.1%
5 316
 
0.1%
ValueCountFrequency (%)
9 7
 
< 0.1%
7 20
 
< 0.1%
5 316
0.1%
4 167
< 0.1%
3 176
< 0.1%

PCPSADE1
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)0.6%
Missing440637
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean2.335775336
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.672402image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.157869736
Coefficient of variation (CV)0.4957110894
Kurtosis8.73359467
Mean2.335775336
Median Absolute Deviation (MAD)1
Skewness1.854674746
Sum1913
Variance1.340662326
MonotonicityNot monotonic
2024-06-18T20:12:32.711340image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 275
 
0.1%
3 247
 
0.1%
1 202
 
< 0.1%
4 87
 
< 0.1%
9 8
 
< 0.1%
(Missing) 440637
99.8%
ValueCountFrequency (%)
1 202
< 0.1%
2 275
0.1%
3 247
0.1%
4 87
 
< 0.1%
9 8
 
< 0.1%
ValueCountFrequency (%)
9 8
 
< 0.1%
4 87
 
< 0.1%
3 247
0.1%
2 275
0.1%
1 202
< 0.1%

PCDMDECN
Text

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.3 MiB
2024-06-18T20:12:32.745969image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.000609347
Min length3

Characters and Unicode

Total characters1324637
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 441201
99.9%
b'1 208
 
< 0.1%
b'2 21
 
< 0.1%
b'12 7
 
< 0.1%
b'4 5
 
< 0.1%
b'9 4
 
< 0.1%
b'7 3
 
< 0.1%
b'3 2
 
< 0.1%
b'21 2
 
< 0.1%
b'13 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
2024-06-18T20:12:32.839056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 882912
66.7%
b 441456
33.3%
1 220
 
< 0.1%
2 31
 
< 0.1%
4 7
 
< 0.1%
9 4
 
< 0.1%
3 4
 
< 0.1%
7 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1324637
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 882912
66.7%
b 441456
33.3%
1 220
 
< 0.1%
2 31
 
< 0.1%
4 7
 
< 0.1%
9 4
 
< 0.1%
3 4
 
< 0.1%
7 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1324637
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 882912
66.7%
b 441456
33.3%
1 220
 
< 0.1%
2 31
 
< 0.1%
4 7
 
< 0.1%
9 4
 
< 0.1%
3 4
 
< 0.1%
7 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1324637
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 882912
66.7%
b 441456
33.3%
1 220
 
< 0.1%
2 31
 
< 0.1%
4 7
 
< 0.1%
9 4
 
< 0.1%
3 4
 
< 0.1%
7 3
 
< 0.1%

SCNTMNY1
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing371954
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean4.119104486
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.888000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.391919722
Coefficient of variation (CV)0.3379180418
Kurtosis0.8273242072
Mean4.119104486
Median Absolute Deviation (MAD)0
Skewness-0.6469517011
Sum286286
Variance1.937440513
MonotonicityNot monotonic
2024-06-18T20:12:32.929616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 37535
 
8.5%
4 11215
 
2.5%
3 10500
 
2.4%
1 6106
 
1.4%
2 2840
 
0.6%
8 1047
 
0.2%
9 138
 
< 0.1%
7 121
 
< 0.1%
(Missing) 371954
84.3%
ValueCountFrequency (%)
1 6106
 
1.4%
2 2840
 
0.6%
3 10500
 
2.4%
4 11215
 
2.5%
5 37535
8.5%
ValueCountFrequency (%)
9 138
 
< 0.1%
8 1047
 
0.2%
7 121
 
< 0.1%
5 37535
8.5%
4 11215
 
2.5%

SCNTMEL1
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing368096
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean4.327780807
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:32.969867image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.179058762
Coefficient of variation (CV)0.2724395747
Kurtosis1.891568788
Mean4.327780807
Median Absolute Deviation (MAD)0
Skewness-1.41471497
Sum317486
Variance1.390179565
MonotonicityNot monotonic
2024-06-18T20:12:33.010720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 48822
 
11.1%
4 8850
 
2.0%
3 8807
 
2.0%
1 4121
 
0.9%
2 2442
 
0.6%
9 124
 
< 0.1%
7 118
 
< 0.1%
8 76
 
< 0.1%
(Missing) 368096
83.4%
ValueCountFrequency (%)
1 4121
 
0.9%
2 2442
 
0.6%
3 8807
 
2.0%
4 8850
 
2.0%
5 48822
11.1%
ValueCountFrequency (%)
9 124
 
< 0.1%
8 76
 
< 0.1%
7 118
 
< 0.1%
5 48822
11.1%
4 8850
 
2.0%

SCNTPAID
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing406701
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean1.901711984
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.050219image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.076386357
Coefficient of variation (CV)0.5660091358
Kurtosis14.35975822
Mean1.901711984
Median Absolute Deviation (MAD)1
Skewness2.907000211
Sum66094
Variance1.158607589
MonotonicityNot monotonic
2024-06-18T20:12:33.091261image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 16350
 
3.7%
1 13001
 
2.9%
3 3004
 
0.7%
4 1975
 
0.4%
9 253
 
0.1%
7 172
 
< 0.1%
(Missing) 406701
92.1%
ValueCountFrequency (%)
1 13001
2.9%
2 16350
3.7%
3 3004
 
0.7%
4 1975
 
0.4%
7 172
 
< 0.1%
ValueCountFrequency (%)
9 253
 
0.1%
7 172
 
< 0.1%
4 1975
 
0.4%
3 3004
 
0.7%
2 16350
3.7%

SCNTWRK1
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)0.3%
Missing406722
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean43.77373755
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.142199image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q138
median40
Q350
95-th percentile75
Maximum99
Range98
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.59512329
Coefficient of variation (CV)0.3791114084
Kurtosis2.252328831
Mean43.77373755
Median Absolute Deviation (MAD)8
Skewness0.8845014899
Sum1520437
Variance275.3981172
MonotonicityNot monotonic
2024-06-18T20:12:33.195288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 11045
 
2.5%
50 4490
 
1.0%
45 2499
 
0.6%
60 2426
 
0.5%
30 1656
 
0.4%
20 1218
 
0.3%
35 1055
 
0.2%
55 1010
 
0.2%
25 700
 
0.2%
70 646
 
0.1%
Other values (86) 7989
 
1.8%
(Missing) 406722
92.1%
ValueCountFrequency (%)
1 15
 
< 0.1%
2 33
 
< 0.1%
3 28
 
< 0.1%
4 60
< 0.1%
5 96
< 0.1%
ValueCountFrequency (%)
99 193
 
< 0.1%
98 123
 
< 0.1%
97 628
0.1%
96 117
 
< 0.1%
95 6
 
< 0.1%

SCNTLPAD
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing415751
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean1.876171951
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.235666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.251995844
Coefficient of variation (CV)0.6673140185
Kurtosis10.70350069
Mean1.876171951
Median Absolute Deviation (MAD)1
Skewness2.876190558
Sum48227
Variance1.567493593
MonotonicityNot monotonic
2024-06-18T20:12:33.274320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 11342
 
2.6%
2 10853
 
2.5%
3 1405
 
0.3%
4 1371
 
0.3%
7 563
 
0.1%
9 171
 
< 0.1%
(Missing) 415751
94.2%
ValueCountFrequency (%)
1 11342
2.6%
2 10853
2.5%
3 1405
 
0.3%
4 1371
 
0.3%
7 563
 
0.1%
ValueCountFrequency (%)
9 171
 
< 0.1%
7 563
 
0.1%
4 1371
 
0.3%
3 1405
 
0.3%
2 10853
2.5%

SCNTLWK1
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)0.2%
Missing403034
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean47.47061579
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.326251image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q140
median40
Q350
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation22.82828825
Coefficient of variation (CV)0.4808930296
Kurtosis0.5777300949
Mean47.47061579
Median Absolute Deviation (MAD)8
Skewness1.017989545
Sum1823916
Variance521.1307443
MonotonicityNot monotonic
2024-06-18T20:12:33.380167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 15669
 
3.5%
50 3095
 
0.7%
97 2580
 
0.6%
60 2159
 
0.5%
98 1932
 
0.4%
30 1541
 
0.3%
45 1464
 
0.3%
20 1411
 
0.3%
35 827
 
0.2%
25 528
 
0.1%
Other values (83) 7216
 
1.6%
(Missing) 403034
91.3%
ValueCountFrequency (%)
1 16
 
< 0.1%
2 35
 
< 0.1%
3 47
< 0.1%
4 93
< 0.1%
5 109
< 0.1%
ValueCountFrequency (%)
99 201
 
< 0.1%
98 1932
0.4%
97 2580
0.6%
96 154
 
< 0.1%
95 2
 
< 0.1%

SXORIENT
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing274459
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean1.255555489
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.421100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.242507687
Coefficient of variation (CV)0.9896079445
Kurtosis28.62263824
Mean1.255555489
Median Absolute Deviation (MAD)0
Skewness5.389627859
Sum209674
Variance1.543825351
MonotonicityNot monotonic
2024-06-18T20:12:33.462954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 157199
35.6%
9 2951
 
0.7%
3 2265
 
0.5%
2 2242
 
0.5%
7 1759
 
0.4%
4 581
 
0.1%
(Missing) 274459
62.2%
ValueCountFrequency (%)
1 157199
35.6%
2 2242
 
0.5%
3 2265
 
0.5%
4 581
 
0.1%
7 1759
 
0.4%
ValueCountFrequency (%)
9 2951
0.7%
7 1759
0.4%
4 581
 
0.1%
3 2265
0.5%
2 2242
0.5%

TRNSGNDR
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing274549
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean4.05240643
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.502373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5500955052
Coefficient of variation (CV)0.1357453934
Kurtosis63.76261002
Mean4.05240643
Median Absolute Deviation (MAD)0
Skewness7.064734133
Sum676375
Variance0.3026050649
MonotonicityNot monotonic
2024-06-18T20:12:33.544143image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 163685
37.1%
9 1524
 
0.3%
7 946
 
0.2%
1 361
 
0.1%
2 237
 
0.1%
3 154
 
< 0.1%
(Missing) 274549
62.2%
ValueCountFrequency (%)
1 361
 
0.1%
2 237
 
0.1%
3 154
 
< 0.1%
4 163685
37.1%
7 946
 
0.2%
ValueCountFrequency (%)
9 1524
 
0.3%
7 946
 
0.2%
4 163685
37.1%
3 154
 
< 0.1%
2 237
 
0.1%

RCSGENDR
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing381846
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1.83940614
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.582370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.668271756
Coefficient of variation (CV)0.9069621546
Kurtosis13.08439297
Mean1.83940614
Median Absolute Deviation (MAD)1
Skewness3.677549349
Sum109647
Variance2.783130651
MonotonicityNot monotonic
2024-06-18T20:12:33.621741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 29306
 
6.6%
2 27485
 
6.2%
9 2819
 
0.6%
(Missing) 381846
86.5%
ValueCountFrequency (%)
1 29306
6.6%
2 27485
6.2%
9 2819
 
0.6%
ValueCountFrequency (%)
9 2819
 
0.6%
2 27485
6.2%
1 29306
6.6%

RCSRLTN2
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing382040
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1.712232395
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.660752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7826893
Coefficient of variation (CV)1.041149148
Kurtosis8.356471312
Mean1.712232395
Median Absolute Deviation (MAD)0
Skewness2.961489873
Sum101734
Variance3.177981141
MonotonicityNot monotonic
2024-06-18T20:12:33.701563image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 46509
 
10.5%
2 5003
 
1.1%
4 2711
 
0.6%
9 2213
 
0.5%
5 1376
 
0.3%
6 878
 
0.2%
3 693
 
0.2%
7 33
 
< 0.1%
(Missing) 382040
86.5%
ValueCountFrequency (%)
1 46509
10.5%
2 5003
 
1.1%
3 693
 
0.2%
4 2711
 
0.6%
5 1376
 
0.3%
ValueCountFrequency (%)
9 2213
0.5%
7 33
 
< 0.1%
6 878
 
0.2%
5 1376
0.3%
4 2711
0.6%

CASTHDX2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing389151
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.188394991
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.738765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.473973476
Coefficient of variation (CV)0.6735408746
Kurtosis15.18467801
Mean2.188394991
Median Absolute Deviation (MAD)0
Skewness3.964759467
Sum114464
Variance2.172597808
MonotonicityNot monotonic
2024-06-18T20:12:33.778203image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 43301
 
9.8%
1 6508
 
1.5%
9 1941
 
0.4%
7 555
 
0.1%
(Missing) 389151
88.2%
ValueCountFrequency (%)
1 6508
 
1.5%
2 43301
9.8%
7 555
 
0.1%
9 1941
 
0.4%
ValueCountFrequency (%)
9 1941
 
0.4%
7 555
 
0.1%
2 43301
9.8%
1 6508
 
1.5%

CASTHNO2
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.1%
Missing434953
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1.466400123
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.815301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9906055513
Coefficient of variation (CV)0.6755356439
Kurtosis21.32120923
Mean1.466400123
Median Absolute Deviation (MAD)0
Skewness4.273745557
Sum9536
Variance0.9812993582
MonotonicityNot monotonic
2024-06-18T20:12:33.855304image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4259
 
1.0%
2 2087
 
0.5%
7 155
 
< 0.1%
9 2
 
< 0.1%
(Missing) 434953
98.5%
ValueCountFrequency (%)
1 4259
1.0%
2 2087
0.5%
7 155
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
7 155
 
< 0.1%
2 2087
0.5%
1 4259
1.0%

EMTSUPRT
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing421392
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean1.822468102
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.894184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.251896461
Coefficient of variation (CV)0.6869236609
Kurtosis7.60139739
Mean1.822468102
Median Absolute Deviation (MAD)0
Skewness2.403059319
Sum36566
Variance1.567244748
MonotonicityNot monotonic
2024-06-18T20:12:33.935629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 10748
 
2.4%
2 5632
 
1.3%
3 2065
 
0.5%
5 692
 
0.2%
4 596
 
0.1%
7 232
 
0.1%
9 99
 
< 0.1%
(Missing) 421392
95.5%
ValueCountFrequency (%)
1 10748
2.4%
2 5632
1.3%
3 2065
 
0.5%
4 596
 
0.1%
5 692
 
0.2%
ValueCountFrequency (%)
9 99
 
< 0.1%
7 232
 
0.1%
5 692
 
0.2%
4 596
 
0.1%
3 2065
0.5%

LSATISFY
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing421404
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean1.672900459
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:33.975373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.891544074
Coefficient of variation (CV)0.5329331278
Kurtosis24.76849279
Mean1.672900459
Median Absolute Deviation (MAD)1
Skewness3.822054259
Sum33545
Variance0.7948508358
MonotonicityNot monotonic
2024-06-18T20:12:34.016324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 9721
 
2.2%
1 9066
 
2.1%
3 827
 
0.2%
4 224
 
0.1%
7 133
 
< 0.1%
9 81
 
< 0.1%
(Missing) 421404
95.5%
ValueCountFrequency (%)
1 9066
2.1%
2 9721
2.2%
3 827
 
0.2%
4 224
 
0.1%
7 133
 
< 0.1%
ValueCountFrequency (%)
9 81
 
< 0.1%
7 133
 
< 0.1%
4 224
 
0.1%
3 827
 
0.2%
2 9721
2.2%

ADPLEASR
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing421011
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean63.36762045
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.059711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.49598098
Coefficient of variation (CV)0.5917214615
Kurtosis-1.166328407
Mean63.36762045
Median Absolute Deviation (MAD)0
Skewness-0.8951941377
Sum1295551
Variance1405.94859
MonotonicityNot monotonic
2024-06-18T20:12:34.102854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 13663
 
3.1%
2 1363
 
0.3%
14 1148
 
0.3%
1 825
 
0.2%
3 635
 
0.1%
77 594
 
0.1%
7 465
 
0.1%
4 444
 
0.1%
5 438
 
0.1%
10 344
 
0.1%
Other values (7) 526
 
0.1%
(Missing) 421011
95.4%
ValueCountFrequency (%)
1 825
0.2%
2 1363
0.3%
3 635
0.1%
4 444
 
0.1%
5 438
 
0.1%
ValueCountFrequency (%)
99 119
 
< 0.1%
88 13663
3.1%
77 594
 
0.1%
14 1148
 
0.3%
13 17
 
< 0.1%

ADDOWN
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing421027
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean66.90141466
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.144930image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation35.96987312
Coefficient of variation (CV)0.5376548958
Kurtosis-0.6907034504
Mean66.90141466
Median Absolute Deviation (MAD)0
Skewness-1.132645601
Sum1366729
Variance1293.831773
MonotonicityNot monotonic
2024-06-18T20:12:34.187741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 14962
 
3.4%
2 1153
 
0.3%
14 996
 
0.2%
1 908
 
0.2%
3 550
 
0.1%
7 394
 
0.1%
5 375
 
0.1%
4 312
 
0.1%
10 251
 
0.1%
77 185
 
< 0.1%
Other values (7) 343
 
0.1%
(Missing) 421027
95.4%
ValueCountFrequency (%)
1 908
0.2%
2 1153
0.3%
3 550
0.1%
4 312
 
0.1%
5 375
 
0.1%
ValueCountFrequency (%)
99 63
 
< 0.1%
88 14962
3.4%
77 185
 
< 0.1%
14 996
 
0.2%
13 8
 
< 0.1%

ADSLEEP
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing421037
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean51.24305794
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.229524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)81

Descriptive statistics

Standard deviation40.08539024
Coefficient of variation (CV)0.7822599167
Kurtosis-1.929082502
Mean51.24305794
Median Absolute Deviation (MAD)0
Skewness-0.1947649203
Sum1046332
Variance1606.83851
MonotonicityNot monotonic
2024-06-18T20:12:34.272059image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 10788
 
2.4%
14 3192
 
0.7%
2 1368
 
0.3%
3 949
 
0.2%
1 763
 
0.2%
4 678
 
0.2%
5 615
 
0.1%
7 590
 
0.1%
10 477
 
0.1%
6 273
 
0.1%
Other values (7) 726
 
0.2%
(Missing) 421037
95.4%
ValueCountFrequency (%)
1 763
0.2%
2 1368
0.3%
3 949
0.2%
4 678
0.2%
5 615
0.1%
ValueCountFrequency (%)
99 58
 
< 0.1%
88 10788
2.4%
77 256
 
0.1%
14 3192
 
0.7%
13 50
 
< 0.1%

ADENERGY
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing421043
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean39.25581737
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.313965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median14
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)84

Descriptive statistics

Standard deviation39.79065843
Coefficient of variation (CV)1.013624504
Kurtosis-1.812695575
Mean39.25581737
Median Absolute Deviation (MAD)12
Skewness0.3797677025
Sum801329
Variance1583.296498
MonotonicityNot monotonic
2024-06-18T20:12:34.355917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 7776
 
1.8%
14 3522
 
0.8%
2 2383
 
0.5%
3 1324
 
0.3%
1 1190
 
0.3%
5 873
 
0.2%
4 853
 
0.2%
7 775
 
0.2%
10 586
 
0.1%
77 339
 
0.1%
Other values (7) 792
 
0.2%
(Missing) 421043
95.4%
ValueCountFrequency (%)
1 1190
0.3%
2 2383
0.5%
3 1324
0.3%
4 853
 
0.2%
5 873
 
0.2%
ValueCountFrequency (%)
99 66
 
< 0.1%
88 7776
1.8%
77 339
 
0.1%
14 3522
0.8%
13 39
 
< 0.1%

ADEAT1
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing421054
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean59.75139692
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.397326image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)78

Descriptive statistics

Standard deviation38.76323461
Coefficient of variation (CV)0.6487418974
Kurtosis-1.530243864
Mean59.75139692
Median Absolute Deviation (MAD)0
Skewness-0.6643633309
Sum1219048
Variance1502.588358
MonotonicityNot monotonic
2024-06-18T20:12:34.440501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 12998
 
2.9%
14 1832
 
0.4%
2 1285
 
0.3%
1 821
 
0.2%
3 803
 
0.2%
5 571
 
0.1%
4 511
 
0.1%
7 497
 
0.1%
10 332
 
0.1%
77 302
 
0.1%
Other values (7) 450
 
0.1%
(Missing) 421054
95.4%
ValueCountFrequency (%)
1 821
0.2%
2 1285
0.3%
3 803
0.2%
4 511
 
0.1%
5 571
0.1%
ValueCountFrequency (%)
99 58
 
< 0.1%
88 12998
2.9%
77 302
 
0.1%
14 1832
 
0.4%
13 14
 
< 0.1%

ADFAIL
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing421061
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean74.0803138
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.483772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.67586432
Coefficient of variation (CV)0.414089287
Kurtosis1.158971195
Mean74.0803138
Median Absolute Deviation (MAD)0
Skewness-1.76551052
Sum1510868
Variance941.0086519
MonotonicityNot monotonic
2024-06-18T20:12:34.526812image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 16682
 
3.8%
14 974
 
0.2%
2 637
 
0.1%
1 565
 
0.1%
3 311
 
0.1%
7 225
 
0.1%
5 216
 
< 0.1%
4 185
 
< 0.1%
10 170
 
< 0.1%
77 160
 
< 0.1%
Other values (7) 270
 
0.1%
(Missing) 421061
95.4%
ValueCountFrequency (%)
1 565
0.1%
2 637
0.1%
3 311
0.1%
4 185
 
< 0.1%
5 216
 
< 0.1%
ValueCountFrequency (%)
99 75
 
< 0.1%
88 16682
3.8%
77 160
 
< 0.1%
14 974
 
0.2%
13 6
 
< 0.1%

ADTHINK
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing421075
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean76.00785045
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.569708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.77820905
Coefficient of variation (CV)0.3786215356
Kurtosis2.065304893
Mean76.00785045
Median Absolute Deviation (MAD)0
Skewness-2.005004962
Sum1549116
Variance828.1853162
MonotonicityNot monotonic
2024-06-18T20:12:34.613908image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 17156
 
3.9%
14 850
 
0.2%
2 572
 
0.1%
1 292
 
0.1%
3 274
 
0.1%
7 252
 
0.1%
5 229
 
0.1%
4 215
 
< 0.1%
77 175
 
< 0.1%
10 126
 
< 0.1%
Other values (7) 240
 
0.1%
(Missing) 421075
95.4%
ValueCountFrequency (%)
1 292
0.1%
2 572
0.1%
3 274
0.1%
4 215
 
< 0.1%
5 229
0.1%
ValueCountFrequency (%)
99 52
 
< 0.1%
88 17156
3.9%
77 175
 
< 0.1%
14 850
 
0.2%
13 8
 
< 0.1%

ADMOVE
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.1%
Missing421091
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean78.98369752
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.655634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.33595772
Coefficient of variation (CV)0.3207745208
Kurtosis4.406171926
Mean78.98369752
Median Absolute Deviation (MAD)0
Skewness-2.516203779
Sum1608503
Variance641.9107537
MonotonicityNot monotonic
2024-06-18T20:12:34.698395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 17705
 
4.0%
14 582
 
0.1%
77 394
 
0.1%
2 376
 
0.1%
3 267
 
0.1%
1 232
 
0.1%
7 186
 
< 0.1%
5 183
 
< 0.1%
4 150
 
< 0.1%
10 97
 
< 0.1%
Other values (7) 193
 
< 0.1%
(Missing) 421091
95.4%
ValueCountFrequency (%)
1 232
0.1%
2 376
0.1%
3 267
0.1%
4 150
 
< 0.1%
5 183
< 0.1%
ValueCountFrequency (%)
99 53
 
< 0.1%
88 17705
4.0%
77 394
 
0.1%
14 582
 
0.1%
13 6
 
< 0.1%

MISTMNT
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing421106
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.879066339
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.735142image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5406191068
Coefficient of variation (CV)0.2877062377
Kurtosis80.54745881
Mean1.879066339
Median Absolute Deviation (MAD)0
Skewness6.157698505
Sum38239
Variance0.2922690186
MonotonicityNot monotonic
2024-06-18T20:12:34.773405image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 17273
 
3.9%
1 2989
 
0.7%
7 44
 
< 0.1%
9 44
 
< 0.1%
(Missing) 421106
95.4%
ValueCountFrequency (%)
1 2989
 
0.7%
2 17273
3.9%
7 44
 
< 0.1%
9 44
 
< 0.1%
ValueCountFrequency (%)
9 44
 
< 0.1%
7 44
 
< 0.1%
2 17273
3.9%
1 2989
 
0.7%

ADANXEV
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing421114
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.873512929
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.810055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5910342686
Coefficient of variation (CV)0.3154684761
Kurtosis62.60306053
Mean1.873512929
Median Absolute Deviation (MAD)0
Skewness5.680222234
Sum38111
Variance0.3493215066
MonotonicityNot monotonic
2024-06-18T20:12:34.848825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 16919
 
3.8%
1 3294
 
0.7%
7 91
 
< 0.1%
9 38
 
< 0.1%
(Missing) 421114
95.4%
ValueCountFrequency (%)
1 3294
 
0.7%
2 16919
3.8%
7 91
 
< 0.1%
9 38
 
< 0.1%
ValueCountFrequency (%)
9 38
 
< 0.1%
7 91
 
< 0.1%
2 16919
3.8%
1 3294
 
0.7%

QSTVER
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.86906509
Minimum10
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.888243image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median12
Q320
95-th percentile22
Maximum23
Range13
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.025347334
Coefficient of variation (CV)0.3379733226
Kurtosis-1.789099089
Mean14.86906509
Median Absolute Deviation (MAD)2
Skewness0.3069136675
Sum6564038
Variance25.25411582
MonotonicityNot monotonic
2024-06-18T20:12:34.928204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10 150457
34.1%
20 111274
25.2%
11 52636
 
11.9%
12 47346
 
10.7%
21 35601
 
8.1%
22 33987
 
7.7%
23 5949
 
1.3%
13 4206
 
1.0%
ValueCountFrequency (%)
10 150457
34.1%
11 52636
 
11.9%
12 47346
 
10.7%
13 4206
 
1.0%
20 111274
25.2%
ValueCountFrequency (%)
23 5949
 
1.3%
22 33987
 
7.7%
21 35601
 
8.1%
20 111274
25.2%
13 4206
 
1.0%

QSTLANG
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing22
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.037092748
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:34.965614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1890971523
Coefficient of variation (CV)0.1823338874
Kurtosis22.15055916
Mean1.037092748
Median Absolute Deviation (MAD)0
Skewness4.907832282
Sum457808
Variance0.03575773299
MonotonicityNot monotonic
2024-06-18T20:12:35.004927image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 425069
96.3%
2 16356
 
3.7%
3 9
 
< 0.1%
(Missing) 22
 
< 0.1%
ValueCountFrequency (%)
1 425069
96.3%
2 16356
 
3.7%
3 9
 
< 0.1%
ValueCountFrequency (%)
3 9
 
< 0.1%
2 16356
 
3.7%
1 425069
96.3%

EXACTOT1
Text

Distinct5642
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size25.4 MiB
2024-06-18T20:12:35.115734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.353845004
Min length3

Characters and Unicode

Total characters1480575
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4624 ?
Unique (%)1.0%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 428388
94.8%
b'treadmill 852
 
0.2%
b'cardio 826
 
0.2%
b'physical 686
 
0.2%
therapy 663
 
0.1%
b'water 571
 
0.1%
training 488
 
0.1%
b'stretching 475
 
0.1%
b'gym 402
 
0.1%
exercises 360
 
0.1%
Other values (3500) 18076
 
4.0%
2024-06-18T20:12:35.295904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 882906
59.6%
b 443412
29.9%
10367
 
0.7%
i 10323
 
0.7%
e 9127
 
0.6%
r 8616
 
0.6%
a 8519
 
0.6%
t 6883
 
0.5%
s 6841
 
0.5%
n 5982
 
0.4%
Other values (73) 87599
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1480575
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 882906
59.6%
b 443412
29.9%
10367
 
0.7%
i 10323
 
0.7%
e 9127
 
0.6%
r 8616
 
0.6%
a 8519
 
0.6%
t 6883
 
0.5%
s 6841
 
0.5%
n 5982
 
0.4%
Other values (73) 87599
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1480575
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 882906
59.6%
b 443412
29.9%
10367
 
0.7%
i 10323
 
0.7%
e 9127
 
0.6%
r 8616
 
0.6%
a 8519
 
0.6%
t 6883
 
0.5%
s 6841
 
0.5%
n 5982
 
0.4%
Other values (73) 87599
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1480575
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 882906
59.6%
b 443412
29.9%
10367
 
0.7%
i 10323
 
0.7%
e 9127
 
0.6%
r 8616
 
0.6%
a 8519
 
0.6%
t 6883
 
0.5%
s 6841
 
0.5%
n 5982
 
0.4%
Other values (73) 87599
 
5.9%

EXACTOT2
Text

Distinct7623
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size25.5 MiB
2024-06-18T20:12:35.417429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length23
Median length3
Mean length3.455861966
Min length3

Characters and Unicode

Total characters1525611
Distinct characters85
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6247 ?
Unique (%)1.4%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 424848
93.3%
b'stretching 931
 
0.2%
ups 555
 
0.1%
b'treadmill 521
 
0.1%
training 496
 
0.1%
b'physical 445
 
0.1%
therapy 427
 
0.1%
b'cardio 417
 
0.1%
exercises 364
 
0.1%
b'sex 363
 
0.1%
Other values (4598) 26074
 
5.7%
2024-06-18T20:12:35.595053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 882903
57.9%
b 443742
29.1%
14030
 
0.9%
i 12825
 
0.8%
e 11519
 
0.8%
r 9347
 
0.6%
n 9323
 
0.6%
s 9279
 
0.6%
a 9089
 
0.6%
t 8679
 
0.6%
Other values (75) 114875
 
7.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1525611
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 882903
57.9%
b 443742
29.1%
14030
 
0.9%
i 12825
 
0.8%
e 11519
 
0.8%
r 9347
 
0.6%
n 9323
 
0.6%
s 9279
 
0.6%
a 9089
 
0.6%
t 8679
 
0.6%
Other values (75) 114875
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1525611
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 882903
57.9%
b 443742
29.1%
14030
 
0.9%
i 12825
 
0.8%
e 11519
 
0.8%
r 9347
 
0.6%
n 9323
 
0.6%
s 9279
 
0.6%
a 9089
 
0.6%
t 8679
 
0.6%
Other values (75) 114875
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1525611
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 882903
57.9%
b 443742
29.1%
14030
 
0.9%
i 12825
 
0.8%
e 11519
 
0.8%
r 9347
 
0.6%
n 9323
 
0.6%
s 9279
 
0.6%
a 9089
 
0.6%
t 8679
 
0.6%
Other values (75) 114875
 
7.5%

MSCODE
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing190877
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean2.542044625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:35.656974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.724402585
Coefficient of variation (CV)0.6783526018
Kurtosis-1.451685464
Mean2.542044625
Median Absolute Deviation (MAD)1
Skewness0.5611430296
Sum636983
Variance2.973564275
MonotonicityNot monotonic
2024-06-18T20:12:35.698898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 111864
25.3%
5 76530
17.3%
2 44086
 
10.0%
3 18099
 
4.1%
(Missing) 190877
43.2%
ValueCountFrequency (%)
1 111864
25.3%
2 44086
 
10.0%
3 18099
 
4.1%
5 76530
17.3%
ValueCountFrequency (%)
5 76530
17.3%
3 18099
 
4.1%
2 44086
 
10.0%
1 111864
25.3%

_STSTR
Real number (ℝ)

Distinct1306
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301167.2915
Minimum11011
Maximum722019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:35.747745image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11011
5-th percentile51031
Q1191011
median292039
Q3441031
95-th percentile541011
Maximum722019
Range711008
Interquartile range (IQR)250020

Descriptive statistics

Standard deviation160353.0093
Coefficient of variation (CV)0.5324383284
Kurtosis-0.733926449
Mean301167.2915
Median Absolute Deviation (MAD)120010
Skewness0.131465983
Sum1.329521078 × 1011
Variance2.571308759 × 1010
MonotonicityNot monotonic
2024-06-18T20:12:35.801425image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62029 7627
 
1.7%
492019 7227
 
1.6%
121011 5067
 
1.1%
91021 5063
 
1.1%
241011 4917
 
1.1%
271051 4741
 
1.1%
272059 4094
 
0.9%
92019 4041
 
0.9%
272049 3983
 
0.9%
122019 3652
 
0.8%
Other values (1296) 391044
88.6%
ValueCountFrequency (%)
11011 284
0.1%
11012 18
 
< 0.1%
11021 248
0.1%
11022 26
 
< 0.1%
11031 253
0.1%
ValueCountFrequency (%)
722019 2822
0.6%
721081 197
 
< 0.1%
721071 391
 
0.1%
721061 416
 
0.1%
721051 73
 
< 0.1%

_STRWT
Real number (ℝ)

Distinct1304
Distinct (%)0.3%
Missing26
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean104.0993598
Minimum0.9452460366
Maximum1603.286561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:35.853994image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.9452460366
5-th percentile4.648867732
Q117.82957603
median44.823976
Q397.31498815
95-th percentile436.5106312
Maximum1603.286561
Range1602.341315
Interquartile range (IQR)79.48541212

Descriptive statistics

Standard deviation159.8271412
Coefficient of variation (CV)1.535332604
Kurtosis17.5008218
Mean104.0993598
Median Absolute Deviation (MAD)32.41141768
Skewness3.402789625
Sum45952580.41
Variance25544.71507
MonotonicityNot monotonic
2024-06-18T20:12:35.908928image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382.9339189 7627
 
1.7%
78.21670413 7227
 
1.6%
68.271817 5067
 
1.1%
21.07740717 5063
 
1.1%
26.49311368 4917
 
1.1%
29.93125015 4741
 
1.1%
61.62551881 4094
 
0.9%
64.92054641 4041
 
0.9%
97.12307773 3983
 
0.9%
627.824975 3652
 
0.8%
Other values (1294) 391018
88.6%
ValueCountFrequency (%)
0.9452460366 324
0.1%
1.088318161 476
0.1%
1.212203665 32
 
< 0.1%
1.214586849 676
0.2%
1.262673484 78
 
< 0.1%
ValueCountFrequency (%)
1603.286561 616
0.1%
1255.888088 621
0.1%
967.6480613 410
0.1%
830.0916961 420
0.1%
796.3650628 149
 
< 0.1%

_RAWRAKE
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.440656222
Minimum0.3333333333
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:35.953625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.3333333333
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4.666666667
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7027714838
Coefficient of variation (CV)0.4878134511
Kurtosis4.14198753
Mean1.440656222
Median Absolute Deviation (MAD)0
Skewness1.842675545
Sum635986.3333
Variance0.4938877584
MonotonicityNot monotonic
2024-06-18T20:12:35.992036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 284525
64.5%
2 123925
28.1%
3 21312
 
4.8%
4 6792
 
1.5%
5 2038
 
0.5%
0.5 1366
 
0.3%
1.5 617
 
0.1%
0.6666666667 546
 
0.1%
0.3333333333 203
 
< 0.1%
2.5 81
 
< 0.1%
Other values (2) 51
 
< 0.1%
ValueCountFrequency (%)
0.3333333333 203
 
< 0.1%
0.5 1366
 
0.3%
0.6666666667 546
 
0.1%
1 284525
64.5%
1.333333333 31
 
< 0.1%
ValueCountFrequency (%)
5 2038
 
0.5%
4 6792
 
1.5%
3 21312
 
4.8%
2.5 81
 
< 0.1%
2 123925
28.1%

_WT2RAKE
Real number (ℝ)

Distinct5913
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.4360398
Minimum0.3627727202
Maximum3191.946865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.037629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.3627727202
5-th percentile7.524403373
Q125.25250596
median61.62551881
Q3136.543634
95-th percentile491.0169854
Maximum3191.946865
Range3191.584093
Interquartile range (IQR)111.291128

Descriptive statistics

Standard deviation166.849419
Coefficient of variation (CV)1.373969534
Kurtosis15.57231902
Mean121.4360398
Median Absolute Deviation (MAD)41.40759845
Skewness3.166024266
Sum53608668.37
Variance27838.72862
MonotonicityNot monotonic
2024-06-18T20:12:36.088751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382.9339189 7627
 
1.7%
78.21670413 7227
 
1.6%
61.62551881 4095
 
0.9%
64.92054641 4041
 
0.9%
97.12307773 3983
 
0.9%
627.824975 3652
 
0.8%
78.54931869 2988
 
0.7%
95.1388579 2834
 
0.6%
251.2095167 2822
 
0.6%
27.52143885 2731
 
0.6%
Other values (5903) 399456
90.5%
ValueCountFrequency (%)
0.3627727202 1
< 0.1%
0.4899203944 2
< 0.1%
0.5441590803 2
< 0.1%
0.6072934243 1
< 0.1%
0.6698158856 1
< 0.1%
ValueCountFrequency (%)
3191.946865 1
 
< 0.1%
2553.557492 1
 
< 0.1%
2094.710762 4
< 0.1%
1915.168119 1
 
< 0.1%
1907.730714 3
< 0.1%

_CHISPNC
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing121821
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean7.61204186
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.128828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.837936074
Coefficient of variation (CV)0.3728219217
Kurtosis0.4748706983
Mean7.61204186
Median Absolute Deviation (MAD)0
Skewness-1.564983573
Sum2433075
Variance8.053881161
MonotonicityNot monotonic
2024-06-18T20:12:36.167652image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
9 257768
58.4%
2 51296
 
11.6%
1 10571
 
2.4%
(Missing) 121821
27.6%
ValueCountFrequency (%)
1 10571
 
2.4%
2 51296
 
11.6%
9 257768
58.4%
ValueCountFrequency (%)
9 257768
58.4%
2 51296
 
11.6%
1 10571
 
2.4%

_CRACE1
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing376327
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean7.236776244
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.208411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation22.19389412
Coefficient of variation (CV)3.066820552
Kurtosis12.24384358
Mean7.236776244
Median Absolute Deviation (MAD)0
Skewness3.748839175
Sum471324
Variance492.5689361
MonotonicityNot monotonic
2024-06-18T20:12:36.248128image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 46797
 
10.6%
2 5856
 
1.3%
99 3160
 
0.7%
7 3054
 
0.7%
4 1840
 
0.4%
6 1765
 
0.4%
3 1735
 
0.4%
77 706
 
0.2%
5 216
 
< 0.1%
(Missing) 376327
85.2%
ValueCountFrequency (%)
1 46797
10.6%
2 5856
 
1.3%
3 1735
 
0.4%
4 1840
 
0.4%
5 216
 
< 0.1%
ValueCountFrequency (%)
99 3160
0.7%
77 706
 
0.2%
7 3054
0.7%
6 1765
0.4%
5 216
 
< 0.1%

_CPRACE
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing376327
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean7.236776244
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.287803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation22.19389412
Coefficient of variation (CV)3.066820552
Kurtosis12.24384358
Mean7.236776244
Median Absolute Deviation (MAD)0
Skewness3.748839175
Sum471324
Variance492.5689361
MonotonicityNot monotonic
2024-06-18T20:12:36.328725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 46797
 
10.6%
2 5856
 
1.3%
99 3160
 
0.7%
7 3054
 
0.7%
4 1840
 
0.4%
6 1765
 
0.4%
3 1735
 
0.4%
77 706
 
0.2%
5 216
 
< 0.1%
(Missing) 376327
85.2%
ValueCountFrequency (%)
1 46797
10.6%
2 5856
 
1.3%
3 1735
 
0.4%
4 1840
 
0.4%
5 216
 
< 0.1%
ValueCountFrequency (%)
99 3160
0.7%
77 706
 
0.2%
7 3054
0.7%
6 1765
0.4%
5 216
 
< 0.1%

_CLLCPWT
Real number (ℝ)

MISSING 

Distinct24301
Distinct (%)40.8%
Missing381866
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean803.3222353
Minimum7.81392981
Maximum25755.01388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.376513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.81392981
5-th percentile34.30326819
Q1136.6171671
median329.4425174
Q3916.0802117
95-th percentile3084.802332
Maximum25755.01388
Range25747.19995
Interquartile range (IQR)779.4630447

Descriptive statistics

Standard deviation1337.20394
Coefficient of variation (CV)1.664592216
Kurtosis38.17194811
Mean803.3222353
Median Absolute Deviation (MAD)247.1481014
Skewness4.829088
Sum47869972
Variance1788114.377
MonotonicityNot monotonic
2024-06-18T20:12:36.430702image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
506.2366304 149
 
< 0.1%
1012.473261 122
 
< 0.1%
282.5093457 118
 
< 0.1%
303.0276447 102
 
< 0.1%
1543.933803 101
 
< 0.1%
1518.709891 96
 
< 0.1%
144.3566257 92
 
< 0.1%
259.3801835 91
 
< 0.1%
288.7132515 91
 
< 0.1%
384.5990584 86
 
< 0.1%
Other values (24291) 58542
 
13.3%
(Missing) 381866
86.5%
ValueCountFrequency (%)
7.81392981 11
< 0.1%
7.816750921 6
< 0.1%
8.969921992 1
 
< 0.1%
9.536860128 1
 
< 0.1%
9.605636978 1
 
< 0.1%
ValueCountFrequency (%)
25755.01388 1
< 0.1%
25653.29443 1
< 0.1%
23295.61783 1
< 0.1%
21541.02662 2
< 0.1%
20567.07002 1
< 0.1%

_DUALUSE
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.164032203
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.469055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.766406706
Coefficient of variation (CV)0.9045095049
Kurtosis-1.730228284
Mean4.164032203
Median Absolute Deviation (MAD)1
Skewness0.4890849807
Sum1838237
Variance14.18581947
MonotonicityNot monotonic
2024-06-18T20:12:36.507715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 205310
46.5%
9 165805
37.6%
2 70341
 
15.9%
ValueCountFrequency (%)
1 205310
46.5%
2 70341
 
15.9%
9 165805
37.6%
ValueCountFrequency (%)
9 165805
37.6%
2 70341
 
15.9%
1 205310
46.5%

_DUALCOR
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)< 0.1%
Missing165805
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean0.6200229168
Minimum0.07943752101
Maximum0.920562479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.556346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.07943752101
5-th percentile0.2368459843
Q10.4647052276
median0.6697672819
Q30.7660521097
95-th percentile0.8830984292
Maximum0.920562479
Range0.841124958
Interquartile range (IQR)0.3013468821

Descriptive statistics

Standard deviation0.2016279815
Coefficient of variation (CV)0.3251944017
Kurtosis-0.49617062
Mean0.6200229168
Median Absolute Deviation (MAD)0.1119012492
Skewness-0.6959600558
Sum170909.937
Variance0.04065384291
MonotonicityNot monotonic
2024-06-18T20:12:36.607199image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6697672819 9527
 
2.2%
0.920562479 9374
 
2.1%
0.7660521097 8428
 
1.9%
0.7326429102 7347
 
1.7%
0.6883027626 7041
 
1.6%
0.8079062417 6858
 
1.6%
0.753932762 6743
 
1.5%
0.6057737581 6620
 
1.5%
0.7209461236 6619
 
1.5%
0.6672930456 6481
 
1.5%
Other values (96) 200613
45.4%
(Missing) 165805
37.6%
ValueCountFrequency (%)
0.07943752101 675
 
0.2%
0.08550402256 207
 
< 0.1%
0.1169015708 1804
0.4%
0.129251164 407
 
0.1%
0.1426788208 369
 
0.1%
ValueCountFrequency (%)
0.920562479 9374
2.1%
0.9144959774 2771
 
0.6%
0.8830984292 6254
1.4%
0.870748836 3258
 
0.7%
0.8573211792 3083
 
0.7%

_LLCPWT
Real number (ℝ)

Distinct273327
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean569.3594333
Minimum1.180750335
Maximum36700.68429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.657193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.180750335
5-th percentile25.19923282
Q192.21010259
median232.3852265
Q3621.1574995
95-th percentile2224.87544
Maximum36700.68429
Range36699.50354
Interquartile range (IQR)528.9473969

Descriptive statistics

Standard deviation992.9092071
Coefficient of variation (CV)1.743905781
Kurtosis63.1933769
Mean569.3594333
Median Absolute Deviation (MAD)175.3792677
Skewness5.715404492
Sum251347138
Variance985868.6936
MonotonicityNot monotonic
2024-06-18T20:12:36.712478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.50810206 88
 
< 0.1%
67.0844653 84
 
< 0.1%
198.3801062 79
 
< 0.1%
140.412431 79
 
< 0.1%
238.4435197 75
 
< 0.1%
184.889149 75
 
< 0.1%
170.5842893 74
 
< 0.1%
26.95300435 73
 
< 0.1%
73.81598491 73
 
< 0.1%
54.50896475 69
 
< 0.1%
Other values (273317) 440687
99.8%
ValueCountFrequency (%)
1.180750335 1
< 0.1%
1.433505433 1
< 0.1%
1.619610489 1
< 0.1%
1.763330732 1
< 0.1%
1.767523428 1
< 0.1%
ValueCountFrequency (%)
36700.68429 1
< 0.1%
33134.93962 1
< 0.1%
30479.72053 1
< 0.1%
28667.30505 1
< 0.1%
26679.3257 1
< 0.1%

_RFHLTH
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.208657261
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.753793image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5685998428
Coefficient of variation (CV)0.4704392726
Kurtosis97.30101983
Mean1.208657261
Median Absolute Deviation (MAD)0
Skewness7.729211001
Sum533569
Variance0.3233057813
MonotonicityNot monotonic
2024-06-18T20:12:36.792268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 358072
81.1%
2 82137
 
18.6%
9 1247
 
0.3%
ValueCountFrequency (%)
1 358072
81.1%
2 82137
 
18.6%
9 1247
 
0.3%
ValueCountFrequency (%)
9 1247
 
0.3%
2 82137
 
18.6%
1 358072
81.1%

_HCVU651
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.953148219
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.829383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.79918555
Coefficient of variation (CV)0.9610531504
Kurtosis-1.6630967
Mean3.953148219
Median Absolute Deviation (MAD)0
Skewness0.567847094
Sum1745141
Variance14.43381084
MonotonicityNot monotonic
2024-06-18T20:12:36.866931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 252542
57.2%
9 159253
36.1%
2 29661
 
6.7%
ValueCountFrequency (%)
1 252542
57.2%
2 29661
 
6.7%
9 159253
36.1%
ValueCountFrequency (%)
9 159253
36.1%
2 29661
 
6.7%
1 252542
57.2%

_RFHYPE5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.428409626
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.904541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6467486075
Coefficient of variation (CV)0.4527753073
Kurtosis55.52983962
Mean1.428409626
Median Absolute Deviation (MAD)0
Skewness5.074860087
Sum630580
Variance0.4182837613
MonotonicityNot monotonic
2024-06-18T20:12:36.943557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 261901
59.3%
2 178188
40.4%
9 1367
 
0.3%
ValueCountFrequency (%)
1 261901
59.3%
2 178188
40.4%
9 1367
 
0.3%
ValueCountFrequency (%)
9 1367
 
0.3%
2 178188
40.4%
1 261901
59.3%

_CHOLCHK
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.533609239
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:36.981406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.555461802
Coefficient of variation (CV)1.014249108
Kurtosis15.54492747
Mean1.533609239
Median Absolute Deviation (MAD)0
Skewness3.90437798
Sum677021
Variance2.419461417
MonotonicityNot monotonic
2024-06-18T20:12:37.021950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 362923
82.2%
3 49673
 
11.3%
9 15337
 
3.5%
2 13523
 
3.1%
ValueCountFrequency (%)
1 362923
82.2%
2 13523
 
3.1%
3 49673
 
11.3%
9 15337
 
3.5%
ValueCountFrequency (%)
9 15337
 
3.5%
3 49673
 
11.3%
2 13523
 
3.1%
1 362923
82.2%

_RFCHOL
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing59154
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean1.492955831
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.061416image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8783913889
Coefficient of variation (CV)0.5883572513
Kurtosis46.79639902
Mean1.492955831
Median Absolute Deviation (MAD)0
Skewness5.793826856
Sum570760
Variance0.7715714321
MonotonicityNot monotonic
2024-06-18T20:12:37.101808image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 218771
49.6%
2 159970
36.2%
9 3561
 
0.8%
(Missing) 59154
 
13.4%
ValueCountFrequency (%)
1 218771
49.6%
2 159970
36.2%
9 3561
 
0.8%
ValueCountFrequency (%)
9 3561
 
0.8%
2 159970
36.2%
1 218771
49.6%

_MICHD
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing3942
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.911698826
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.143493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2837327281
Coefficient of variation (CV)0.148419157
Kurtosis6.421818246
Mean1.911698826
Median Absolute Deviation (MAD)0
Skewness-2.902031855
Sum836395
Variance0.08050426097
MonotonicityNot monotonic
2024-06-18T20:12:37.179639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 398881
90.4%
1 38633
 
8.8%
(Missing) 3942
 
0.9%
ValueCountFrequency (%)
1 38633
 
8.8%
2 398881
90.4%
ValueCountFrequency (%)
2 398881
90.4%
1 38633
 
8.8%

_LTASTH1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.161631057
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.214980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.569998827
Coefficient of variation (CV)0.4906883502
Kurtosis118.5799026
Mean1.161631057
Median Absolute Deviation (MAD)0
Skewness9.203442051
Sum512809
Variance0.3248986628
MonotonicityNot monotonic
2024-06-18T20:12:37.252636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 380554
86.2%
2 59409
 
13.5%
9 1493
 
0.3%
ValueCountFrequency (%)
1 380554
86.2%
2 59409
 
13.5%
9 1493
 
0.3%
ValueCountFrequency (%)
9 1493
 
0.3%
2 59409
 
13.5%
1 380554
86.2%

_CASTHM1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.15044761
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.289191image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7393800352
Coefficient of variation (CV)0.6426890098
Kurtosis92.17731261
Mean1.15044761
Median Absolute Deviation (MAD)0
Skewness9.079873304
Sum507872
Variance0.5466828364
MonotonicityNot monotonic
2024-06-18T20:12:37.326871image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 398154
90.2%
2 40000
 
9.1%
9 3302
 
0.7%
ValueCountFrequency (%)
1 398154
90.2%
2 40000
 
9.1%
9 3302
 
0.7%
ValueCountFrequency (%)
9 3302
 
0.7%
2 40000
 
9.1%
1 398154
90.2%

_ASTHMS1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.823792179
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.363344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8003311458
Coefficient of variation (CV)0.2834242378
Kurtosis26.01824611
Mean2.823792179
Median Absolute Deviation (MAD)0
Skewness2.331031925
Sum1246580
Variance0.640529943
MonotonicityNot monotonic
2024-06-18T20:12:37.404238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 380554
86.2%
1 40000
 
9.1%
2 17600
 
4.0%
9 3302
 
0.7%
ValueCountFrequency (%)
1 40000
 
9.1%
2 17600
 
4.0%
3 380554
86.2%
9 3302
 
0.7%
ValueCountFrequency (%)
9 3302
 
0.7%
3 380554
86.2%
2 17600
 
4.0%
1 40000
 
9.1%

_DRDXAR1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing2799
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.662524478
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.443346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4728491342
Coefficient of variation (CV)0.2844163442
Kurtosis-1.527447663
Mean1.662524478
Median Absolute Deviation (MAD)0
Skewness-0.6874294881
Sum729278
Variance0.2235863037
MonotonicityNot monotonic
2024-06-18T20:12:37.482214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 290621
65.8%
1 148036
33.5%
(Missing) 2799
 
0.6%
ValueCountFrequency (%)
1 148036
33.5%
2 290621
65.8%
ValueCountFrequency (%)
2 290621
65.8%
1 148036
33.5%

_PRACE1
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.12348456
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.521451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.57850828
Coefficient of variation (CV)4.027075542
Kurtosis47.19865725
Mean3.12348456
Median Absolute Deviation (MAD)0
Skewness6.947922879
Sum1378881
Variance158.2188705
MonotonicityNot monotonic
2024-06-18T20:12:37.560174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 363201
82.3%
2 36873
 
8.4%
4 10894
 
2.5%
6 8905
 
2.0%
3 8722
 
2.0%
99 5340
 
1.2%
77 3475
 
0.8%
5 2901
 
0.7%
7 1138
 
0.3%
8 7
 
< 0.1%
ValueCountFrequency (%)
1 363201
82.3%
2 36873
 
8.4%
3 8722
 
2.0%
4 10894
 
2.5%
5 2901
 
0.7%
ValueCountFrequency (%)
99 5340
1.2%
77 3475
 
0.8%
8 7
 
< 0.1%
7 1138
 
0.3%
6 8905
2.0%

_MRACE1
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.207264144
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.599279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.58662494
Coefficient of variation (CV)3.924411704
Kurtosis46.88506732
Mean3.207264144
Median Absolute Deviation (MAD)0
Skewness6.915075844
Sum1415866
Variance158.4231275
MonotonicityNot monotonic
2024-06-18T20:12:37.638348image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 359173
81.4%
2 35908
 
8.1%
4 10117
 
2.3%
7 9085
 
2.1%
6 8673
 
2.0%
3 7942
 
1.8%
99 5340
 
1.2%
77 3475
 
0.8%
5 1743
 
0.4%
ValueCountFrequency (%)
1 359173
81.4%
2 35908
 
8.1%
3 7942
 
1.8%
4 10117
 
2.3%
5 1743
 
0.4%
ValueCountFrequency (%)
99 5340
1.2%
77 3475
 
0.8%
7 9085
2.1%
6 8673
2.0%
5 1743
 
0.4%

_HISPANC
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.984499021
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.672947image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7347964078
Coefficient of variation (CV)0.3702679618
Kurtosis75.11271756
Mean1.984499021
Median Absolute Deviation (MAD)0
Skewness7.958993439
Sum876069
Variance0.539925761
MonotonicityNot monotonic
2024-06-18T20:12:37.711985image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 401525
91.0%
1 35795
 
8.1%
9 4136
 
0.9%
ValueCountFrequency (%)
1 35795
 
8.1%
2 401525
91.0%
9 4136
 
0.9%
ValueCountFrequency (%)
9 4136
 
0.9%
2 401525
91.0%
1 35795
 
8.1%

_RACE
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.021757548
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.749749image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.273675563
Coefficient of variation (CV)1.124603475
Kurtosis2.889744243
Mean2.021757548
Median Absolute Deviation (MAD)0
Skewness2.132296815
Sum892517
Variance5.169600568
MonotonicityNot monotonic
2024-06-18T20:12:37.792441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 336066
76.1%
8 35795
 
8.1%
2 34346
 
7.8%
4 9759
 
2.2%
7 8156
 
1.8%
9 7437
 
1.7%
3 6546
 
1.5%
6 1945
 
0.4%
5 1406
 
0.3%
ValueCountFrequency (%)
1 336066
76.1%
2 34346
 
7.8%
3 6546
 
1.5%
4 9759
 
2.2%
5 1406
 
0.3%
ValueCountFrequency (%)
9 7437
 
1.7%
8 35795
8.1%
7 8156
 
1.8%
6 1945
 
0.4%
5 1406
 
0.3%

_RACEG21
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.356658421
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.831505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.082987215
Coefficient of variation (CV)0.7982755258
Kurtosis38.83471061
Mean1.356658421
Median Absolute Deviation (MAD)0
Skewness5.941660457
Sum598905
Variance1.172861307
MonotonicityNot monotonic
2024-06-18T20:12:37.869140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 336066
76.1%
2 97953
 
22.2%
9 7437
 
1.7%
ValueCountFrequency (%)
1 336066
76.1%
2 97953
 
22.2%
9 7437
 
1.7%
ValueCountFrequency (%)
9 7437
 
1.7%
2 97953
 
22.2%
1 336066
76.1%

_RACEGR3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.68138614
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.906546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.527553422
Coefficient of variation (CV)0.9085083938
Kurtosis7.835934263
Mean1.68138614
Median Absolute Deviation (MAD)0
Skewness2.71052834
Sum742258
Variance2.333419457
MonotonicityNot monotonic
2024-06-18T20:12:37.948436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 336066
76.1%
5 35795
 
8.1%
2 34346
 
7.8%
3 19656
 
4.5%
4 8156
 
1.8%
9 7437
 
1.7%
ValueCountFrequency (%)
1 336066
76.1%
2 34346
 
7.8%
3 19656
 
4.5%
4 8156
 
1.8%
5 35795
 
8.1%
ValueCountFrequency (%)
9 7437
 
1.7%
5 35795
8.1%
4 8156
 
1.8%
3 19656
4.5%
2 34346
7.8%

_RACE_G1
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing7437
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.455113716
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:37.988535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9540260492
Coefficient of variation (CV)0.6556367647
Kurtosis3.490875672
Mean1.455113716
Median Absolute Deviation (MAD)0
Skewness2.104570008
Sum631547
Variance0.9101657025
MonotonicityNot monotonic
2024-06-18T20:12:38.031084image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 336066
76.1%
3 35795
 
8.1%
2 34346
 
7.8%
4 19656
 
4.5%
5 8156
 
1.8%
(Missing) 7437
 
1.7%
ValueCountFrequency (%)
1 336066
76.1%
2 34346
 
7.8%
3 35795
 
8.1%
4 19656
 
4.5%
5 8156
 
1.8%
ValueCountFrequency (%)
5 8156
 
1.8%
4 19656
 
4.5%
3 35795
 
8.1%
2 34346
 
7.8%
1 336066
76.1%

_AGEG5YR
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.803622558
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.072921image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile13
Maximum14
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.495609126
Coefficient of variation (CV)0.4479469758
Kurtosis-0.8427347352
Mean7.803622558
Median Absolute Deviation (MAD)3
Skewness-0.3057695851
Sum3444956
Variance12.21928316
MonotonicityNot monotonic
2024-06-18T20:12:38.115029image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
9 49794
11.3%
10 49264
11.2%
8 46209
10.5%
7 39881
9.0%
11 38362
8.7%
13 36760
8.3%
6 30276
6.9%
12 28232
 
6.4%
5 25942
 
5.9%
4 24545
 
5.6%
Other values (4) 72191
16.4%
ValueCountFrequency (%)
1 24192
5.5%
2 19746
4.5%
3 22917
5.2%
4 24545
5.6%
5 25942
5.9%
ValueCountFrequency (%)
14 5336
 
1.2%
13 36760
8.3%
12 28232
6.4%
11 38362
8.7%
10 49264
11.2%

_AGE65YR
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.369889638
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.152912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5071946629
Coefficient of variation (CV)0.370244908
Kurtosis-0.7050547531
Mean1.369889638
Median Absolute Deviation (MAD)0
Skewness0.8150941534
Sum604746
Variance0.2572464261
MonotonicityNot monotonic
2024-06-18T20:12:38.192879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 283502
64.2%
2 152618
34.6%
3 5336
 
1.2%
ValueCountFrequency (%)
1 283502
64.2%
2 152618
34.6%
3 5336
 
1.2%
ValueCountFrequency (%)
3 5336
 
1.2%
2 152618
34.6%
1 283502
64.2%

_AGE80
Real number (ℝ)

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.40994346
Minimum18
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.241339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile24
Q143
median58
Q369
95-th percentile80
Maximum80
Range62
Interquartile range (IQR)26

Descriptive statistics

Standard deviation17.04164565
Coefficient of variation (CV)0.3075557306
Kurtosis-0.7978452613
Mean55.40994346
Median Absolute Deviation (MAD)12
Skewness-0.4057690266
Sum24461052
Variance290.4176863
MonotonicityNot monotonic
2024-06-18T20:12:38.295824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 36764
 
8.3%
62 11121
 
2.5%
65 10807
 
2.4%
60 10655
 
2.4%
68 10618
 
2.4%
63 10437
 
2.4%
64 10251
 
2.3%
67 10238
 
2.3%
66 9887
 
2.2%
58 9674
 
2.2%
Other values (53) 311004
70.4%
ValueCountFrequency (%)
18 3393
0.8%
19 3174
0.7%
20 3257
0.7%
21 3570
0.8%
22 3495
0.8%
ValueCountFrequency (%)
80 36764
8.3%
79 4730
 
1.1%
78 5248
 
1.2%
77 5725
 
1.3%
76 5797
 
1.3%

_AGE_G
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.444381773
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.339651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.552281656
Coefficient of variation (CV)0.3492682976
Kurtosis-0.6351893888
Mean4.444381773
Median Absolute Deviation (MAD)1
Skewness-0.7136824272
Sum1961999
Variance2.409578339
MonotonicityNot monotonic
2024-06-18T20:12:38.378765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 153209
34.7%
5 98602
22.3%
4 71911
16.3%
3 50819
 
11.5%
2 42719
 
9.7%
1 24196
 
5.5%
ValueCountFrequency (%)
1 24196
 
5.5%
2 42719
9.7%
3 50819
11.5%
4 71911
16.3%
5 98602
22.3%
ValueCountFrequency (%)
6 153209
34.7%
5 98602
22.3%
4 71911
16.3%
3 50819
 
11.5%
2 42719
 
9.7%

HTIN4
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)< 0.1%
Missing17260
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean66.72517657
Minimum36
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.424306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile60
Q164
median66
Q370
95-th percentile74
Maximum95
Range59
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.129767867
Coefficient of variation (CV)0.06189219841
Kurtosis-0.2505055349
Mean66.72517657
Median Absolute Deviation (MAD)3
Skewness0.1652557935
Sum28304553
Variance17.05498264
MonotonicityNot monotonic
2024-06-18T20:12:38.475223image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 39560
9.0%
66 39325
8.9%
65 34922
 
7.9%
67 34379
 
7.8%
63 31739
 
7.2%
68 31567
 
7.2%
62 31072
 
7.0%
70 29575
 
6.7%
69 27725
 
6.3%
72 27000
 
6.1%
Other values (44) 97332
22.0%
ValueCountFrequency (%)
36 3
< 0.1%
38 1
 
< 0.1%
39 1
 
< 0.1%
40 2
< 0.1%
41 3
< 0.1%
ValueCountFrequency (%)
95 1
 
< 0.1%
91 1
 
< 0.1%
90 1
 
< 0.1%
89 2
< 0.1%
88 3
< 0.1%

HTM4
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)< 0.1%
Missing15432
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean169.4610515
Minimum91
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.526598image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile152
Q1163
median168
Q3178
95-th percentile188
Maximum241
Range150
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.56503562
Coefficient of variation (CV)0.06234491953
Kurtosis-0.03731719372
Mean169.4610515
Median Absolute Deviation (MAD)8
Skewness0.1140717067
Sum72194475
Variance111.6199776
MonotonicityNot monotonic
2024-06-18T20:12:38.582341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163 39609
9.0%
168 39382
8.9%
165 35051
 
7.9%
170 34533
 
7.8%
160 31907
 
7.2%
173 31599
 
7.2%
157 31096
 
7.0%
178 29616
 
6.7%
175 27832
 
6.3%
183 27010
 
6.1%
Other values (95) 98389
22.3%
ValueCountFrequency (%)
91 3
< 0.1%
97 1
 
< 0.1%
99 1
 
< 0.1%
100 1
 
< 0.1%
102 2
< 0.1%
ValueCountFrequency (%)
241 1
 
< 0.1%
231 1
 
< 0.1%
229 1
 
< 0.1%
226 2
< 0.1%
224 3
< 0.1%

WTKG3
Real number (ℝ)

MISSING 

Distinct560
Distinct (%)0.1%
Missing30921
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean8092.974409
Minimum2268
Maximum28985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.636849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2268
5-th percentile5352
Q16577
median7756
Q39072
95-th percentile11793
Maximum28985
Range26717
Interquartile range (IQR)2495

Descriptive statistics

Standard deviation2161.075422
Coefficient of variation (CV)0.267031046
Kurtosis8.125278021
Mean8092.974409
Median Absolute Deviation (MAD)1316
Skewness1.731627671
Sum3322449249
Variance4670246.979
MonotonicityNot monotonic
2024-06-18T20:12:38.689962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9072 21659
 
4.9%
8165 20529
 
4.7%
6804 20334
 
4.6%
7257 18937
 
4.3%
7711 17172
 
3.9%
6350 14784
 
3.3%
8618 14201
 
3.2%
7938 12026
 
2.7%
5897 11869
 
2.7%
7484 11432
 
2.6%
Other values (550) 247592
56.1%
(Missing) 30921
 
7.0%
ValueCountFrequency (%)
2268 8
< 0.1%
2359 1
 
< 0.1%
2404 1
 
< 0.1%
2495 5
< 0.1%
2585 1
 
< 0.1%
ValueCountFrequency (%)
28985 1
 
< 0.1%
28000 1
 
< 0.1%
27714 1
 
< 0.1%
27533 1
 
< 0.1%
27488 3
< 0.1%

_BMI5
Real number (ℝ)

MISSING 

Distinct3736
Distinct (%)0.9%
Missing36398
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean2804.2424
Minimum1202
Maximum9995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.743941image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1202
5-th percentile2007
Q12373
median2695
Q33090
95-th percentile3953
Maximum9995
Range8793
Interquartile range (IQR)717

Descriptive statistics

Standard deviation665.4634334
Coefficient of variation (CV)0.2373059595
Kurtosis12.17877893
Mean2804.2424
Median Absolute Deviation (MAD)346
Skewness2.244423872
Sum1135880818
Variance442841.5812
MonotonicityNot monotonic
2024-06-18T20:12:38.795960image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2663 4727
 
1.1%
2744 3829
 
0.9%
2746 3684
 
0.8%
2441 3396
 
0.8%
2712 3239
 
0.7%
2510 2799
 
0.6%
2575 2555
 
0.6%
2929 2514
 
0.6%
2421 2398
 
0.5%
3228 2394
 
0.5%
Other values (3726) 373523
84.6%
(Missing) 36398
 
8.2%
ValueCountFrequency (%)
1202 1
< 0.1%
1205 1
< 0.1%
1211 1
< 0.1%
1215 1
< 0.1%
1216 2
< 0.1%
ValueCountFrequency (%)
9995 1
 
< 0.1%
9765 19
< 0.1%
9738 1
 
< 0.1%
9711 1
 
< 0.1%
9654 1
 
< 0.1%

_BMI5CAT
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing36398
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean2.938460665
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.837428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8264815711
Coefficient of variation (CV)0.2812634455
Kurtosis-1.152792284
Mean2.938460665
Median Absolute Deviation (MAD)1
Skewness-0.061563798
Sum1190247
Variance0.6830717874
MonotonicityNot monotonic
2024-06-18T20:12:38.877984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 147004
33.3%
2 131409
29.8%
4 119924
27.2%
1 6721
 
1.5%
(Missing) 36398
 
8.2%
ValueCountFrequency (%)
1 6721
 
1.5%
2 131409
29.8%
3 147004
33.3%
4 119924
27.2%
ValueCountFrequency (%)
4 119924
27.2%
3 147004
33.3%
2 131409
29.8%
1 6721
 
1.5%

_RFBMI5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.264252836
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:38.922170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.069570322
Coefficient of variation (CV)0.9140190923
Kurtosis6.295366922
Mean2.264252836
Median Absolute Deviation (MAD)0
Skewness2.769973649
Sum999568
Variance4.283121317
MonotonicityNot monotonic
2024-06-18T20:12:38.964452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 266928
60.5%
1 138130
31.3%
9 36398
 
8.2%
ValueCountFrequency (%)
1 138130
31.3%
2 266928
60.5%
9 36398
 
8.2%
ValueCountFrequency (%)
9 36398
 
8.2%
2 266928
60.5%
1 138130
31.3%

_CHLDCNT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.565963539
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.003213image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.200828358
Coefficient of variation (CV)0.7668303433
Kurtosis12.27818767
Mean1.565963539
Median Absolute Deviation (MAD)0
Skewness3.062342838
Sum691304
Variance1.441988746
MonotonicityNot monotonic
2024-06-18T20:12:39.045496image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 324000
73.4%
2 46376
 
10.5%
3 40614
 
9.2%
4 17313
 
3.9%
5 6371
 
1.4%
9 3637
 
0.8%
6 3145
 
0.7%
ValueCountFrequency (%)
1 324000
73.4%
2 46376
 
10.5%
3 40614
 
9.2%
4 17313
 
3.9%
5 6371
 
1.4%
ValueCountFrequency (%)
9 3637
 
0.8%
6 3145
 
0.7%
5 6371
 
1.4%
4 17313
3.9%
3 40614
9.2%

_EDUCAG
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.956398826
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.086640image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.04951084
Coefficient of variation (CV)0.3549963661
Kurtosis2.998526261
Mean2.956398826
Median Absolute Deviation (MAD)1
Skewness0.4294296869
Sum1305120
Variance1.101473003
MonotonicityNot monotonic
2024-06-18T20:12:39.125194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 161631
36.6%
2 123227
27.9%
3 120528
27.3%
1 34259
 
7.8%
9 1811
 
0.4%
ValueCountFrequency (%)
1 34259
 
7.8%
2 123227
27.9%
3 120528
27.3%
4 161631
36.6%
9 1811
 
0.4%
ValueCountFrequency (%)
9 1811
 
0.4%
4 161631
36.6%
3 120528
27.3%
2 123227
27.9%
1 34259
 
7.8%

_INCOMG
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.677847849
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.163295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.415903075
Coefficient of variation (CV)0.516456104
Kurtosis-0.4682299263
Mean4.677847849
Median Absolute Deviation (MAD)1
Skewness0.5131984969
Sum2065064
Variance5.83658767
MonotonicityNot monotonic
2024-06-18T20:12:39.203567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 173442
39.3%
9 79505
18.0%
2 59174
 
13.4%
4 52052
 
11.8%
3 39235
 
8.9%
1 38048
 
8.6%
ValueCountFrequency (%)
1 38048
 
8.6%
2 59174
 
13.4%
3 39235
 
8.9%
4 52052
 
11.8%
5 173442
39.3%
ValueCountFrequency (%)
9 79505
18.0%
5 173442
39.3%
4 52052
 
11.8%
3 39235
 
8.9%
2 59174
 
13.4%

_SMOKER3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.549055852
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.242822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.464252892
Coefficient of variation (CV)0.4125753307
Kurtosis5.794761358
Mean3.549055852
Median Absolute Deviation (MAD)0
Skewness1.534508464
Sum1566752
Variance2.14403653
MonotonicityNot monotonic
2024-06-18T20:12:39.282931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 239608
54.3%
3 122277
27.7%
1 43583
 
9.9%
2 17998
 
4.1%
9 17990
 
4.1%
ValueCountFrequency (%)
1 43583
 
9.9%
2 17998
 
4.1%
3 122277
27.7%
4 239608
54.3%
9 17990
 
4.1%
ValueCountFrequency (%)
9 17990
 
4.1%
4 239608
54.3%
3 122277
27.7%
2 17998
 
4.1%
1 43583
 
9.9%

_RFSMOK3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.465507321
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.323072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.590880488
Coefficient of variation (CV)1.085549328
Kurtosis17.51072196
Mean1.465507321
Median Absolute Deviation (MAD)0
Skewness4.313837057
Sum646957
Variance2.530900726
MonotonicityNot monotonic
2024-06-18T20:12:39.360265image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 361885
82.0%
2 61581
 
13.9%
9 17990
 
4.1%
ValueCountFrequency (%)
1 361885
82.0%
2 61581
 
13.9%
9 17990
 
4.1%
ValueCountFrequency (%)
9 17990
 
4.1%
2 61581
 
13.9%
1 361885
82.0%

DRNKANY5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.85052644
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.396960image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.640494044
Coefficient of variation (CV)0.8865012726
Kurtosis12.87801999
Mean1.85052644
Median Absolute Deviation (MAD)1
Skewness3.629641359
Sum816926
Variance2.691220708
MonotonicityNot monotonic
2024-06-18T20:12:39.436000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 211346
47.9%
2 208460
47.2%
9 18555
 
4.2%
7 3095
 
0.7%
ValueCountFrequency (%)
1 211346
47.9%
2 208460
47.2%
7 3095
 
0.7%
9 18555
 
4.2%
ValueCountFrequency (%)
9 18555
 
4.2%
7 3095
 
0.7%
2 208460
47.2%
1 211346
47.9%

DROCDY3_
Real number (ℝ)

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.38830597
Minimum5.397605347 × 10-79
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.482658image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median3
Q327
95-th percentile100
Maximum900
Range900
Interquartile range (IQR)27

Descriptive statistics

Standard deviation192.7845372
Coefficient of variation (CV)3.246169999
Kurtosis14.73411306
Mean59.38830597
Median Absolute Deviation (MAD)3
Skewness4.04738765
Sum26217324
Variance37165.87776
MonotonicityNot monotonic
2024-06-18T20:12:39.531417image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5.397605347 × 10-79208460
47.2%
3 33975
 
7.7%
7 25398
 
5.8%
100 23221
 
5.3%
900 21650
 
4.9%
14 16587
 
3.8%
10 14056
 
3.2%
29 13481
 
3.1%
17 11911
 
2.7%
13 11745
 
2.7%
Other values (26) 60972
 
13.8%
ValueCountFrequency (%)
5.397605347 × 10-79208460
47.2%
3 33975
 
7.7%
7 25398
 
5.8%
10 14056
 
3.2%
13 11745
 
2.7%
ValueCountFrequency (%)
900 21650
4.9%
100 23221
5.3%
97 307
 
0.1%
93 865
 
0.2%
90 236
 
0.1%

_RFBING5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.578753035
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.568639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.868859816
Coefficient of variation (CV)1.183756911
Kurtosis11.43390853
Mean1.578753035
Median Absolute Deviation (MAD)0
Skewness3.609549475
Sum696950
Variance3.492637012
MonotonicityNot monotonic
2024-06-18T20:12:39.606363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 365239
82.7%
2 50606
 
11.5%
9 25611
 
5.8%
ValueCountFrequency (%)
1 365239
82.7%
2 50606
 
11.5%
9 25611
 
5.8%
ValueCountFrequency (%)
9 25611
 
5.8%
2 50606
 
11.5%
1 365239
82.7%

_DRNKWEK
Real number (ℝ)

Distinct251
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6069.623822
Minimum5.397605347 × 10-79
Maximum99900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.655535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median23
Q3350
95-th percentile99900
Maximum99900
Range99900
Interquartile range (IQR)350

Descriptive statistics

Standard deviation23357.35054
Coefficient of variation (CV)3.84823693
Kurtosis12.1848653
Mean6069.623822
Median Absolute Deviation (MAD)23
Skewness3.764288752
Sum2679471854
Variance545565824.4
MonotonicityNot monotonic
2024-06-18T20:12:39.708087image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79208460
47.2%
99900 25733
 
5.8%
23 23868
 
5.4%
47 18689
 
4.2%
93 13585
 
3.1%
700 12702
 
2.9%
1400 8957
 
2.0%
200 8875
 
2.0%
70 8614
 
2.0%
100 8244
 
1.9%
Other values (241) 103729
23.5%
ValueCountFrequency (%)
5.397605347 × 10-79208460
47.2%
23 23868
 
5.4%
47 18689
 
4.2%
70 8614
 
2.0%
93 13585
 
3.1%
ValueCountFrequency (%)
99900 25733
5.8%
53200 4
 
< 0.1%
52500 1
 
< 0.1%
49000 2
 
< 0.1%
42000 12
 
< 0.1%

_RFDRHV5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.516311931
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.746924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.874579708
Coefficient of variation (CV)1.236275775
Kurtosis11.81198756
Mean1.516311931
Median Absolute Deviation (MAD)0
Skewness3.691093497
Sum669385
Variance3.514049083
MonotonicityNot monotonic
2024-06-18T20:12:39.784369image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 393658
89.2%
9 25733
 
5.8%
2 22065
 
5.0%
ValueCountFrequency (%)
1 393658
89.2%
2 22065
 
5.0%
9 25733
 
5.8%
ValueCountFrequency (%)
9 25733
 
5.8%
2 22065
 
5.0%
1 393658
89.2%

FTJUDA1_
Real number (ℝ)

MISSING  SKEWED 

Distinct97
Distinct (%)< 0.1%
Missing38535
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean35.70140797
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.834942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median7
Q350
95-th percentile100
Maximum9900
Range9900
Interquartile range (IQR)50

Descriptive statistics

Standard deviation68.90952574
Coefficient of variation (CV)1.930162693
Kurtosis3716.002231
Mean35.70140797
Median Absolute Deviation (MAD)7
Skewness31.4899396
Sum14384847
Variance4748.522738
MonotonicityNot monotonic
2024-06-18T20:12:39.888852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79165937
37.6%
100 66214
 
15.0%
29 18322
 
4.2%
7 18028
 
4.1%
14 16057
 
3.6%
43 15550
 
3.5%
3 14313
 
3.2%
10 11197
 
2.5%
17 10709
 
2.4%
200 9054
 
2.1%
Other values (87) 57540
 
13.0%
(Missing) 38535
 
8.7%
ValueCountFrequency (%)
5.397605347 × 10-79165937
37.6%
2 3615
 
0.8%
3 14313
 
3.2%
7 18028
 
4.1%
10 11197
 
2.5%
ValueCountFrequency (%)
9900 3
< 0.1%
7500 1
 
< 0.1%
6000 1
 
< 0.1%
3000 7
< 0.1%
2800 1
 
< 0.1%

FRUTDA1_
Real number (ℝ)

MISSING  SKEWED 

Distinct129
Distinct (%)< 0.1%
Missing36582
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean100.4784328
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:39.942313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile3
Q133
median100
Q3100
95-th percentile300
Maximum9900
Range9900
Interquartile range (IQR)67

Descriptive statistics

Standard deviation111.9253395
Coefficient of variation (CV)1.113924018
Kurtosis1994.245736
Mean100.4784328
Median Absolute Deviation (MAD)57
Skewness25.78031357
Sum40681105
Variance12527.28163
MonotonicityNot monotonic
2024-06-18T20:12:39.997800image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 120213
27.2%
200 55247
12.5%
43 26132
 
5.9%
29 20831
 
4.7%
300 20366
 
4.6%
5.397605347 × 10-7916204
 
3.7%
57 14857
 
3.4%
67 14316
 
3.2%
50 13273
 
3.0%
71 12405
 
2.8%
Other values (119) 91030
20.6%
(Missing) 36582
 
8.3%
ValueCountFrequency (%)
5.397605347 × 10-7916204
3.7%
2 368
 
0.1%
3 4839
 
1.1%
7 8028
1.8%
10 6928
1.6%
ValueCountFrequency (%)
9900 12
< 0.1%
7500 3
 
< 0.1%
7200 1
 
< 0.1%
6000 1
 
< 0.1%
5000 2
 
< 0.1%

BEANDAY_
Real number (ℝ)

MISSING  SKEWED 

Distinct100
Distinct (%)< 0.1%
Missing39947
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean28.01763099
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.053614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q17
median14
Q333
95-th percentile100
Maximum9900
Range9900
Interquartile range (IQR)26

Descriptive statistics

Standard deviation46.1064607
Coefficient of variation (CV)1.645623098
Kurtosis10968.86853
Mean28.01763099
Median Absolute Deviation (MAD)14
Skewness57.33289258
Sum11249331
Variance2125.805718
MonotonicityNot monotonic
2024-06-18T20:12:40.107100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-7968637
15.5%
14 42751
9.7%
29 40969
9.3%
7 32956
 
7.5%
43 28952
 
6.6%
17 21403
 
4.8%
3 21335
 
4.8%
10 21264
 
4.8%
100 21133
 
4.8%
13 17637
 
4.0%
Other values (90) 84472
19.1%
(Missing) 39947
9.0%
ValueCountFrequency (%)
5.397605347 × 10-7968637
15.5%
2 1703
 
0.4%
3 21335
 
4.8%
7 32956
7.5%
10 21264
 
4.8%
ValueCountFrequency (%)
9900 2
< 0.1%
5000 1
< 0.1%
3500 1
< 0.1%
2500 1
< 0.1%
2200 1
< 0.1%

GRENDAY_
Real number (ℝ)

MISSING  SKEWED 

Distinct112
Distinct (%)< 0.1%
Missing37949
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean56.65432818
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.160547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q114
median43
Q383
95-th percentile200
Maximum9900
Range9900
Interquartile range (IQR)69

Descriptive statistics

Standard deviation65.96217297
Coefficient of variation (CV)1.164291857
Kurtosis3363.55346
Mean56.65432818
Median Absolute Deviation (MAD)29
Skewness27.8784201
Sum22860418
Variance4351.008263
MonotonicityNot monotonic
2024-06-18T20:12:40.214978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 67935
15.4%
43 38441
 
8.7%
29 35675
 
8.1%
5.397605347 × 10-7931418
 
7.1%
14 26704
 
6.0%
57 22110
 
5.0%
67 18301
 
4.1%
200 17510
 
4.0%
50 16964
 
3.8%
33 16700
 
3.8%
Other values (102) 111749
25.3%
(Missing) 37949
 
8.6%
ValueCountFrequency (%)
5.397605347 × 10-7931418
7.1%
2 1002
 
0.2%
3 8478
 
1.9%
7 13570
3.1%
10 10380
 
2.4%
ValueCountFrequency (%)
9900 2
 
< 0.1%
7500 2
 
< 0.1%
3100 1
 
< 0.1%
3000 6
< 0.1%
2500 2
 
< 0.1%

ORNGDAY_
Real number (ℝ)

MISSING  SKEWED 

Distinct98
Distinct (%)< 0.1%
Missing39258
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean29.59935902
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.266885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q17
median17
Q343
95-th percentile100
Maximum9900
Range9900
Interquartile range (IQR)36

Descriptive statistics

Standard deviation46.05387981
Coefficient of variation (CV)1.55590801
Kurtosis10775.75844
Mean29.59935902
Median Absolute Deviation (MAD)14
Skewness56.11249827
Sum11904803
Variance2120.959845
MonotonicityNot monotonic
2024-06-18T20:12:40.320632image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-7959408
13.5%
14 50270
11.4%
29 42208
9.6%
7 31494
 
7.1%
43 28953
 
6.6%
100 26169
 
5.9%
17 22610
 
5.1%
3 21397
 
4.8%
33 19699
 
4.5%
10 18416
 
4.2%
Other values (88) 81574
18.5%
(Missing) 39258
8.9%
ValueCountFrequency (%)
5.397605347 × 10-7959408
13.5%
2 1599
 
0.4%
3 21397
 
4.8%
7 31494
7.1%
10 18416
 
4.2%
ValueCountFrequency (%)
9900 2
< 0.1%
3100 1
 
< 0.1%
3000 3
< 0.1%
2500 3
< 0.1%
2000 1
 
< 0.1%

VEGEDA1_
Real number (ℝ)

MISSING  SKEWED 

Distinct122
Distinct (%)< 0.1%
Missing41463
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean80.30339531
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.373896image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile10
Q133
median71
Q3100
95-th percentile200
Maximum9900
Range9900
Interquartile range (IQR)67

Descriptive statistics

Standard deviation79.45848495
Coefficient of variation (CV)0.9894785226
Kurtosis3944.737207
Mean80.30339531
Median Absolute Deviation (MAD)29
Skewness35.65743194
Sum32120796
Variance6313.650831
MonotonicityNot monotonic
2024-06-18T20:12:40.429548image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 120614
27.3%
43 32648
 
7.4%
200 32303
 
7.3%
29 26217
 
5.9%
67 22048
 
5.0%
57 21398
 
4.8%
71 17246
 
3.9%
50 16953
 
3.8%
14 14921
 
3.4%
33 14632
 
3.3%
Other values (112) 81013
18.4%
(Missing) 41463
 
9.4%
ValueCountFrequency (%)
5.397605347 × 10-797452
1.7%
2 154
 
< 0.1%
3 3225
0.7%
7 5716
1.3%
10 5321
1.2%
ValueCountFrequency (%)
9900 6
< 0.1%
7500 2
 
< 0.1%
3100 2
 
< 0.1%
3000 6
< 0.1%
2700 1
 
< 0.1%

_MISFRTN
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1701573883
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.470296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5324361082
Coefficient of variation (CV)3.129080163
Kurtosis7.098550363
Mean0.1701573883
Median Absolute Deviation (MAD)0
Skewness2.963921461
Sum75117
Variance0.2834882094
MonotonicityNot monotonic
2024-06-18T20:12:40.511068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79397745
90.1%
2 31406
 
7.1%
1 12305
 
2.8%
ValueCountFrequency (%)
5.397605347 × 10-79397745
90.1%
1 12305
 
2.8%
2 31406
 
7.1%
ValueCountFrequency (%)
2 31406
 
7.1%
1 12305
 
2.8%
5.397605347 × 10-79397745
90.1%

_MISVEGN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3593042115
Minimum5.397605347 × 10-79
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.550027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.085587948
Coefficient of variation (CV)3.021361601
Kurtosis6.74494341
Mean0.3593042115
Median Absolute Deviation (MAD)0
Skewness2.909797007
Sum158617
Variance1.178501192
MonotonicityNot monotonic
2024-06-18T20:12:40.590935image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5.397605347 × 10-79390339
88.4%
4 33211
 
7.5%
1 12221
 
2.8%
2 3503
 
0.8%
3 2182
 
0.5%
ValueCountFrequency (%)
5.397605347 × 10-79390339
88.4%
1 12221
 
2.8%
2 3503
 
0.8%
3 2182
 
0.5%
4 33211
 
7.5%
ValueCountFrequency (%)
4 33211
 
7.5%
3 2182
 
0.5%
2 3503
 
0.8%
1 12221
 
2.8%
5.397605347 × 10-79390339
88.4%

_FRTRESP
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9009844696
Minimum5.397605347 × 10-79
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.630958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2986832055
Coefficient of variation (CV)0.331507607
Kurtosis5.209395412
Mean0.9009844696
Median Absolute Deviation (MAD)0
Skewness-2.685027339
Sum397745
Variance0.08921165725
MonotonicityNot monotonic
2024-06-18T20:12:40.668650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 397745
90.1%
5.397605347 × 10-7943711
 
9.9%
ValueCountFrequency (%)
5.397605347 × 10-7943711
 
9.9%
1 397745
90.1%
ValueCountFrequency (%)
1 397745
90.1%
5.397605347 × 10-7943711
 
9.9%

_VEGRESP
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8842081657
Minimum5.397605347 × 10-79
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.703787image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3199754949
Coefficient of variation (CV)0.3618780139
Kurtosis3.767199229
Mean0.8842081657
Median Absolute Deviation (MAD)0
Skewness-2.401495818
Sum390339
Variance0.1023843173
MonotonicityNot monotonic
2024-06-18T20:12:40.741089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 390339
88.4%
5.397605347 × 10-7951117
 
11.6%
ValueCountFrequency (%)
5.397605347 × 10-7951117
 
11.6%
1 390339
88.4%
ValueCountFrequency (%)
1 390339
88.4%
5.397605347 × 10-7951117
 
11.6%

_FRUTSUM
Real number (ℝ)

MISSING  SKEWED 

Distinct528
Distinct (%)0.1%
Missing43711
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean136.2419641
Minimum5.397605347 × 10-79
Maximum15000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.786089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile10
Q157
median100
Q3200
95-th percentile329
Maximum15000
Range15000
Interquartile range (IQR)143

Descriptive statistics

Standard deviation137.9641798
Coefficient of variation (CV)1.012640861
Kurtosis1512.743702
Mean136.2419641
Median Absolute Deviation (MAD)57
Skewness21.39559977
Sum54189560
Variance19034.11491
MonotonicityNot monotonic
2024-06-18T20:12:40.841752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 52092
 
11.8%
200 50830
 
11.5%
300 22232
 
5.0%
43 13341
 
3.0%
5.397605347 × 10-7910804
 
2.4%
143 9181
 
2.1%
114 9132
 
2.1%
129 8559
 
1.9%
57 8547
 
1.9%
29 8479
 
1.9%
Other values (518) 204548
46.3%
(Missing) 43711
 
9.9%
ValueCountFrequency (%)
5.397605347 × 10-7910804
2.4%
2 66
 
< 0.1%
3 3058
 
0.7%
4 197
 
< 0.1%
5 80
 
< 0.1%
ValueCountFrequency (%)
15000 1
< 0.1%
12900 1
< 0.1%
10900 1
< 0.1%
10200 1
< 0.1%
10100 1
< 0.1%

_VEGESUM
Real number (ℝ)

MISSING  SKEWED 

Distinct1078
Distinct (%)0.3%
Missing51117
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean194.7300142
Minimum5.397605347 × 10-79
Maximum19929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.895396image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile39
Q1110
median169
Q3243
95-th percentile429
Maximum19929
Range19929
Interquartile range (IQR)133

Descriptive statistics

Standard deviation155.6500109
Coefficient of variation (CV)0.7993118655
Kurtosis1967.440187
Mean194.7300142
Median Absolute Deviation (MAD)67
Skewness22.01720528
Sum76010719
Variance24226.92589
MonotonicityNot monotonic
2024-06-18T20:12:40.952507image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 8487
 
1.9%
157 6626
 
1.5%
143 6162
 
1.4%
100 6063
 
1.4%
186 5454
 
1.2%
243 5190
 
1.2%
300 5179
 
1.2%
172 4793
 
1.1%
214 4657
 
1.1%
129 4513
 
1.0%
Other values (1068) 333215
75.5%
(Missing) 51117
 
11.6%
ValueCountFrequency (%)
5.397605347 × 10-791590
0.4%
2 5
 
< 0.1%
3 600
 
0.1%
4 1
 
< 0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
19929 1
< 0.1%
18400 1
< 0.1%
15150 1
< 0.1%
15076 1
< 0.1%
10720 1
< 0.1%

_FRTLT1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.131745859
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:40.995161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.322881636
Coefficient of variation (CV)1.089661615
Kurtosis4.599723734
Mean2.131745859
Median Absolute Deviation (MAD)0
Skewness2.494565842
Sum941072
Variance5.395779096
MonotonicityNot monotonic
2024-06-18T20:12:41.033021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 247817
56.1%
2 149928
34.0%
9 43711
 
9.9%
ValueCountFrequency (%)
1 247817
56.1%
2 149928
34.0%
9 43711
 
9.9%
ValueCountFrequency (%)
9 43711
 
9.9%
2 149928
34.0%
1 247817
56.1%

_VEGLT1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.109315538
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.069384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.522516939
Coefficient of variation (CV)1.195893594
Kurtosis3.473804668
Mean2.109315538
Median Absolute Deviation (MAD)0
Skewness2.30063869
Sum931170
Variance6.36309171
MonotonicityNot monotonic
2024-06-18T20:12:41.108230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 309561
70.1%
2 80778
 
18.3%
9 51117
 
11.6%
ValueCountFrequency (%)
1 309561
70.1%
2 80778
 
18.3%
9 51117
 
11.6%
ValueCountFrequency (%)
9 51117
 
11.6%
2 80778
 
18.3%
1 309561
70.1%

_FRT16
Real number (ℝ)

SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9997915987
Minimum5.397605347 × 10-79
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.147157image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01443462265
Coefficient of variation (CV)0.01443763147
Kurtosis4793.489296
Mean0.9997915987
Median Absolute Deviation (MAD)0
Skewness-69.24931465
Sum441364
Variance0.0002083583312
MonotonicityNot monotonic
2024-06-18T20:12:41.183760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 441364
> 99.9%
5.397605347 × 10-7992
 
< 0.1%
ValueCountFrequency (%)
5.397605347 × 10-7992
 
< 0.1%
1 441364
> 99.9%
ValueCountFrequency (%)
1 441364
> 99.9%
5.397605347 × 10-7992
 
< 0.1%

_VEG23
Real number (ℝ)

SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9998935341
Minimum5.397605347 × 10-79
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.219594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0103176927
Coefficient of variation (CV)0.0103187913
Kurtosis9387.787298
Mean0.9998935341
Median Absolute Deviation (MAD)0
Skewness-96.90069539
Sum441409
Variance0.0001064547827
MonotonicityNot monotonic
2024-06-18T20:12:41.255867image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 441409
> 99.9%
5.397605347 × 10-7947
 
< 0.1%
ValueCountFrequency (%)
5.397605347 × 10-7947
 
< 0.1%
1 441409
> 99.9%
ValueCountFrequency (%)
1 441409
> 99.9%
5.397605347 × 10-7947
 
< 0.1%

_FRUITEX
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09943233301
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.292885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2999375777
Coefficient of variation (CV)3.016499449
Kurtosis5.394177136
Mean0.09943233301
Median Absolute Deviation (MAD)0
Skewness2.700376819
Sum43895
Variance0.08996255053
MonotonicityNot monotonic
2024-06-18T20:12:41.332320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79397653
90.1%
1 43711
 
9.9%
2 92
 
< 0.1%
ValueCountFrequency (%)
5.397605347 × 10-79397653
90.1%
1 43711
 
9.9%
2 92
 
< 0.1%
ValueCountFrequency (%)
2 92
 
< 0.1%
1 43711
 
9.9%
5.397605347 × 10-79397653
90.1%

_VEGETEX
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.116004766
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.372020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.320563293
Coefficient of variation (CV)2.763363127
Kurtosis3.838378756
Mean0.116004766
Median Absolute Deviation (MAD)0
Skewness2.407942008
Sum51211
Variance0.1027608248
MonotonicityNot monotonic
2024-06-18T20:12:41.411107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79390292
88.4%
1 51117
 
11.6%
2 47
 
< 0.1%
ValueCountFrequency (%)
5.397605347 × 10-79390292
88.4%
1 51117
 
11.6%
2 47
 
< 0.1%
ValueCountFrequency (%)
2 47
 
< 0.1%
1 51117
 
11.6%
5.397605347 × 10-79390292
88.4%

_TOTINDA
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9318709
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.449555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.209727634
Coefficient of variation (CV)1.143827796
Kurtosis6.030145495
Mean1.9318709
Median Absolute Deviation (MAD)0
Skewness2.766184718
Sum852836
Variance4.882896216
MonotonicityNot monotonic
2024-06-18T20:12:41.489125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 296020
67.1%
2 107444
 
24.3%
9 37992
 
8.6%
ValueCountFrequency (%)
1 296020
67.1%
2 107444
 
24.3%
9 37992
 
8.6%
ValueCountFrequency (%)
9 37992
 
8.6%
2 107444
 
24.3%
1 296020
67.1%

METVL11_
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)< 0.1%
Missing146892
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean41.71432694
Minimum5.397605347 × 10-79
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.534082image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile25
Q135
median35
Q350
95-th percentile70
Maximum128
Range128
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.32415584
Coefficient of variation (CV)0.3913321162
Kurtosis2.19978037
Mean41.71432694
Median Absolute Deviation (MAD)0
Skewness0.2770128479
Sum12287539
Variance266.4780638
MonotonicityNot monotonic
2024-06-18T20:12:41.582435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
35 165806
37.6%
60 25656
 
5.8%
50 21919
 
5.0%
5.397605347 × 10-7914716
 
3.3%
68 14047
 
3.2%
45 12033
 
2.7%
73 8221
 
1.9%
38 5596
 
1.3%
70 4949
 
1.1%
40 4885
 
1.1%
Other values (19) 16736
 
3.8%
(Missing) 146892
33.3%
ValueCountFrequency (%)
5.397605347 × 10-7914716
 
3.3%
25 80
 
< 0.1%
30 813
 
0.2%
33 2090
 
0.5%
35 165806
37.6%
ValueCountFrequency (%)
128 338
0.1%
125 98
 
< 0.1%
120 33
 
< 0.1%
110 43
 
< 0.1%
103 469
0.1%

METVL21_
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)< 0.1%
Missing151842
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean28.84515942
Minimum5.397605347 × 10-79
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.629126image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median35
Q350
95-th percentile70
Maximum128
Range128
Interquartile range (IQR)50

Descriptive statistics

Standard deviation26.47941093
Coefficient of variation (CV)0.9179845584
Kurtosis-0.9494391985
Mean28.84515942
Median Absolute Deviation (MAD)33
Skewness0.2811304654
Sum8353962
Variance701.1592032
MonotonicityNot monotonic
2024-06-18T20:12:41.676850image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.397605347 × 10-79116805
26.5%
35 46766
 
10.6%
50 18094
 
4.1%
60 16452
 
3.7%
45 15106
 
3.4%
33 14578
 
3.3%
68 13978
 
3.2%
40 10171
 
2.3%
38 6855
 
1.6%
73 5733
 
1.3%
Other values (19) 25076
 
5.7%
(Missing) 151842
34.4%
ValueCountFrequency (%)
5.397605347 × 10-79116805
26.5%
25 149
 
< 0.1%
30 1178
 
0.3%
33 14578
 
3.3%
35 46766
10.6%
ValueCountFrequency (%)
128 270
0.1%
125 150
< 0.1%
120 28
 
< 0.1%
110 104
 
< 0.1%
103 296
0.1%

MAXVO2_
Real number (ℝ)

Distinct163
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4003.579983
Minimum555
Maximum99900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.728539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum555
5-th percentile1655
Q12247
median2728
Q33415
95-th percentile4515
Maximum99900
Range99345
Interquartile range (IQR)1168

Descriptive statistics

Standard deviation10638.85787
Coefficient of variation (CV)2.657336164
Kurtosis76.79356834
Mean4003.579983
Median Absolute Deviation (MAD)555
Skewness8.849178644
Sum1767404405
Variance113185296.9
MonotonicityNot monotonic
2024-06-18T20:12:41.783429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2284 6099
 
1.4%
2395 6065
 
1.4%
2580 5995
 
1.4%
2321 5995
 
1.4%
2506 5980
 
1.4%
2358 5628
 
1.3%
2469 5594
 
1.3%
2617 5534
 
1.3%
2654 5526
 
1.3%
2432 5516
 
1.2%
Other values (153) 383524
86.9%
ValueCountFrequency (%)
555 94
< 0.1%
610 14
 
< 0.1%
665 24
 
< 0.1%
720 39
< 0.1%
775 79
< 0.1%
ValueCountFrequency (%)
99900 5336
1.2%
5010 1816
 
0.4%
4955 1712
 
0.4%
4900 1728
 
0.4%
4845 1817
 
0.4%

FC60_
Real number (ℝ)

Distinct156
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1686.848585
Minimum95
Maximum99900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.836520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile284
Q1385
median468
Q3585
95-th percentile774
Maximum99900
Range99805
Interquartile range (IQR)200

Descriptive statistics

Standard deviation10864.53691
Coefficient of variation (CV)6.440730367
Kurtosis77.71787901
Mean1686.848585
Median Absolute Deviation (MAD)95
Skewness8.927687328
Sum744669429
Variance118038162.2
MonotonicityNot monotonic
2024-06-18T20:12:41.889157image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
392 6099
 
1.4%
411 6065
 
1.4%
442 5995
 
1.4%
398 5995
 
1.4%
430 5980
 
1.4%
404 5628
 
1.3%
423 5594
 
1.3%
449 5534
 
1.3%
455 5526
 
1.3%
417 5516
 
1.2%
Other values (146) 383524
86.9%
ValueCountFrequency (%)
95 94
< 0.1%
105 14
 
< 0.1%
114 24
 
< 0.1%
123 39
< 0.1%
133 79
< 0.1%
ValueCountFrequency (%)
99900 5336
1.2%
859 1816
 
0.4%
849 1712
 
0.4%
840 1728
 
0.4%
831 1817
 
0.4%

ACTIN11_
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing150022
Missing (%)34.0%
Infinite0
Infinite (%)0.0%
Mean1.281223193
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:41.929902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5502339883
Coefficient of variation (CV)0.4294599031
Kurtosis-0.5133962103
Mean1.281223193
Median Absolute Deviation (MAD)0
Skewness0.02134560101
Sum373392
Variance0.3027574419
MonotonicityNot monotonic
2024-06-18T20:12:41.972736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 180152
40.8%
2 96620
21.9%
5.397605347 × 10-7914662
 
3.3%
(Missing) 150022
34.0%
ValueCountFrequency (%)
5.397605347 × 10-7914662
 
3.3%
1 180152
40.8%
2 96620
21.9%
ValueCountFrequency (%)
2 96620
21.9%
1 180152
40.8%
5.397605347 × 10-7914662
 
3.3%

ACTIN21_
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing154872
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean0.8733076515
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.012630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8151893492
Coefficient of variation (CV)0.9334503686
Kurtosis-1.45755296
Mean0.8733076515
Median Absolute Deviation (MAD)1
Skewness0.2361283596
Sum250276
Variance0.6645336751
MonotonicityNot monotonic
2024-06-18T20:12:42.053943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79115676
26.2%
1 91540
20.7%
2 79368
18.0%
(Missing) 154872
35.1%
ValueCountFrequency (%)
5.397605347 × 10-79115676
26.2%
1 91540
20.7%
2 79368
18.0%
ValueCountFrequency (%)
2 79368
18.0%
1 91540
20.7%
5.397605347 × 10-79115676
26.2%

PADUR1_
Real number (ℝ)

MISSING 

Distinct204
Distinct (%)0.1%
Missing153740
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean63.54931599
Minimum1
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.103513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q130
median45
Q360
95-th percentile180
Maximum599
Range598
Interquartile range (IQR)30

Descriptive statistics

Standard deviation65.18535328
Coefficient of variation (CV)1.025744373
Kurtosis14.26001863
Mean63.54931599
Median Absolute Deviation (MAD)15
Skewness3.268923064
Sum18284155
Variance4249.130283
MonotonicityNot monotonic
2024-06-18T20:12:42.154685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 72800
16.5%
60 64957
14.7%
45 28332
 
6.4%
20 21054
 
4.8%
120 20036
 
4.5%
90 12883
 
2.9%
15 11851
 
2.7%
40 9260
 
2.1%
180 8138
 
1.8%
240 6204
 
1.4%
Other values (194) 32201
 
7.3%
(Missing) 153740
34.8%
ValueCountFrequency (%)
1 890
0.2%
2 509
0.1%
3 339
 
0.1%
4 264
 
0.1%
5 1174
0.3%
ValueCountFrequency (%)
599 112
< 0.1%
596 1
 
< 0.1%
595 1
 
< 0.1%
590 1
 
< 0.1%
588 1
 
< 0.1%

PADUR2_
Real number (ℝ)

MISSING 

Distinct181
Distinct (%)0.1%
Missing249129
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean71.70470605
Minimum1
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.204943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q130
median45
Q390
95-th percentile240
Maximum599
Range598
Interquartile range (IQR)60

Descriptive statistics

Standard deviation77.3485898
Coefficient of variation (CV)1.078710088
Kurtosis9.970116011
Mean71.70470605
Median Absolute Deviation (MAD)15
Skewness2.793433096
Sum13790751
Variance5982.804345
MonotonicityNot monotonic
2024-06-18T20:12:42.258519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 42720
 
9.7%
60 42385
 
9.6%
120 18314
 
4.1%
20 15115
 
3.4%
45 13499
 
3.1%
15 10376
 
2.4%
180 7875
 
1.8%
90 7780
 
1.8%
240 5818
 
1.3%
10 5569
 
1.3%
Other values (171) 22876
 
5.2%
(Missing) 249129
56.4%
ValueCountFrequency (%)
1 748
0.2%
2 600
 
0.1%
3 409
 
0.1%
4 243
 
0.1%
5 1577
0.4%
ValueCountFrequency (%)
599 120
< 0.1%
595 3
 
< 0.1%
590 4
 
< 0.1%
585 7
 
< 0.1%
580 2
 
< 0.1%

PAFREQ1_
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)< 0.1%
Missing150291
Missing (%)34.0%
Infinite0
Infinite (%)0.0%
Mean4027.24426
Minimum233
Maximum99000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.313054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum233
5-th percentile933
Q12000
median3500
Q35833
95-th percentile7000
Maximum99000
Range98767
Interquartile range (IQR)3833

Descriptive statistics

Standard deviation2886.015411
Coefficient of variation (CV)0.7166228877
Kurtosis126.6449049
Mean4027.24426
Median Absolute Deviation (MAD)1500
Skewness6.127917256
Sum1172592575
Variance8329084.953
MonotonicityNot monotonic
2024-06-18T20:12:42.367724image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000 52137
 
11.8%
7000 51549
 
11.7%
2000 34577
 
7.8%
5000 28621
 
6.5%
4000 26082
 
5.9%
1000 16506
 
3.7%
6000 9583
 
2.2%
4667 9200
 
2.1%
3500 7461
 
1.7%
2333 5959
 
1.3%
Other values (109) 49490
 
11.2%
(Missing) 150291
34.0%
ValueCountFrequency (%)
233 2289
 
0.5%
467 5056
 
1.1%
700 4790
 
1.1%
933 5574
 
1.3%
1000 16506
3.7%
ValueCountFrequency (%)
99000 18
< 0.1%
90000 1
 
< 0.1%
84000 1
 
< 0.1%
80000 1
 
< 0.1%
79000 1
 
< 0.1%

PAFREQ2_
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)0.1%
Missing246760
Missing (%)55.9%
Infinite0
Infinite (%)0.0%
Mean3134.333674
Minimum233
Maximum99000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.421798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum233
5-th percentile467
Q11000
median2333
Q34000
95-th percentile7000
Maximum99000
Range98767
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation3187.035503
Coefficient of variation (CV)1.016814365
Kurtosis177.0614502
Mean3134.333674
Median Absolute Deviation (MAD)1333
Skewness8.96297551
Sum610242229
Variance10157195.3
MonotonicityNot monotonic
2024-06-18T20:12:42.475314image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 34377
 
7.8%
3000 28730
 
6.5%
1000 24842
 
5.6%
7000 24038
 
5.4%
4000 10270
 
2.3%
5000 10175
 
2.3%
467 8094
 
1.8%
933 7452
 
1.7%
700 6030
 
1.4%
2333 5089
 
1.2%
Other values (90) 35599
 
8.1%
(Missing) 246760
55.9%
ValueCountFrequency (%)
233 3399
 
0.8%
467 8094
 
1.8%
700 6030
 
1.4%
933 7452
 
1.7%
1000 24842
5.6%
ValueCountFrequency (%)
99000 22
< 0.1%
76000 3
 
< 0.1%
75000 7
 
< 0.1%
72000 1
 
< 0.1%
70000 30
< 0.1%

_MINAC11
Real number (ℝ)

MISSING 

Distinct794
Distinct (%)0.3%
Missing155539
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean229.897855
Minimum5.397605347 × 10-79
Maximum53460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.527695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q170
median140
Q3252
95-th percentile720
Maximum53460
Range53460
Interquartile range (IQR)182

Descriptive statistics

Standard deviation361.4469718
Coefficient of variation (CV)1.572206804
Kurtosis1889.103532
Mean229.897855
Median Absolute Deviation (MAD)80
Skewness19.55043792
Sum65731705
Variance130643.9134
MonotonicityNot monotonic
2024-06-18T20:12:42.583681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 18729
 
4.2%
5.397605347 × 10-7918305
 
4.1%
90 17447
 
4.0%
120 17424
 
3.9%
60 16339
 
3.7%
210 16251
 
3.7%
420 12206
 
2.8%
240 9276
 
2.1%
140 8712
 
2.0%
150 8126
 
1.8%
Other values (784) 143102
32.4%
(Missing) 155539
35.2%
ValueCountFrequency (%)
5.397605347 × 10-7918305
4.1%
2 63
 
< 0.1%
3 99
 
< 0.1%
4 1
 
< 0.1%
5 293
 
0.1%
ValueCountFrequency (%)
53460 1
 
< 0.1%
26950 1
 
< 0.1%
18000 1
 
< 0.1%
16800 1
 
< 0.1%
14400 3
< 0.1%

_MINAC21
Real number (ℝ)

MISSING  SKEWED 

Distinct643
Distinct (%)0.2%
Missing157802
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean130.0677798
Minimum5.397605347 × 10-79
Maximum47520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.635034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median32
Q3120
95-th percentile540
Maximum47520
Range47520
Interquartile range (IQR)120

Descriptive statistics

Standard deviation358.2795113
Coefficient of variation (CV)2.754560061
Kurtosis2183.884848
Mean130.0677798
Median Absolute Deviation (MAD)32
Skewness25.84387845
Sum36894246
Variance128364.2083
MonotonicityNot monotonic
2024-06-18T20:12:42.687395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79120708
27.3%
60 15166
 
3.4%
120 12577
 
2.8%
90 9356
 
2.1%
180 8562
 
1.9%
210 6251
 
1.4%
30 6137
 
1.4%
240 5238
 
1.2%
420 5231
 
1.2%
140 4514
 
1.0%
Other values (633) 89914
20.4%
(Missing) 157802
35.7%
ValueCountFrequency (%)
5.397605347 × 10-79120708
27.3%
2 56
 
< 0.1%
3 101
 
< 0.1%
4 1
 
< 0.1%
5 294
 
0.1%
ValueCountFrequency (%)
47520 1
< 0.1%
41040 1
< 0.1%
27000 1
< 0.1%
23760 1
< 0.1%
23040 1
< 0.1%

STRFREQ_
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)< 0.1%
Missing44013
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean1200.004655
Minimum5.397605347 × 10-79
Maximum99000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.738699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q32000
95-th percentile6000
Maximum99000
Range99000
Interquartile range (IQR)2000

Descriptive statistics

Standard deviation2261.039865
Coefficient of variation (CV)1.884192579
Kurtosis247.1135763
Mean1200.004655
Median Absolute Deviation (MAD)0
Skewness8.19270231
Sum476933450
Variance5112301.27
MonotonicityNot monotonic
2024-06-18T20:12:42.793717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79244368
55.4%
3000 27378
 
6.2%
2000 24200
 
5.5%
7000 15649
 
3.5%
1000 15280
 
3.5%
5000 10428
 
2.4%
4000 10104
 
2.3%
467 6705
 
1.5%
2333 4452
 
1.0%
1167 4435
 
1.0%
Other values (92) 34444
 
7.8%
(Missing) 44013
 
10.0%
ValueCountFrequency (%)
5.397605347 × 10-79244368
55.4%
233 4002
 
0.9%
467 6705
 
1.5%
700 4056
 
0.9%
933 4333
 
1.0%
ValueCountFrequency (%)
99000 19
< 0.1%
90000 1
 
< 0.1%
88000 2
 
< 0.1%
80000 1
 
< 0.1%
75000 4
 
< 0.1%

PAMISS1_
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8228838208
Minimum5.397605347 × 10-79
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.835380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.518358351
Coefficient of variation (CV)3.060405719
Kurtosis6.576108294
Mean0.8228838208
Median Absolute Deviation (MAD)0
Skewness2.915973493
Sum363267
Variance6.342128786
MonotonicityNot monotonic
2024-06-18T20:12:42.869754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79382125
86.6%
9 37992
 
8.6%
1 21339
 
4.8%
ValueCountFrequency (%)
5.397605347 × 10-79382125
86.6%
1 21339
 
4.8%
9 37992
 
8.6%
ValueCountFrequency (%)
9 37992
 
8.6%
1 21339
 
4.8%
5.397605347 × 10-79382125
86.6%

PAMIN11_
Real number (ℝ)

MISSING 

Distinct935
Distinct (%)0.3%
Missing158480
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean313.8626739
Minimum5.397605347 × 10-79
Maximum53460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:42.914656image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q190
median180
Q3360
95-th percentile1008
Maximum53460
Range53460
Interquartile range (IQR)270

Descriptive statistics

Standard deviation524.4292126
Coefficient of variation (CV)1.670887481
Kurtosis581.2346329
Mean313.8626739
Median Absolute Deviation (MAD)120
Skewness12.26782249
Sum88815604
Variance275025.9991
MonotonicityNot monotonic
2024-06-18T20:12:42.969513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-7918140
 
4.1%
180 16573
 
3.8%
120 15668
 
3.5%
420 13510
 
3.1%
210 13377
 
3.0%
60 12970
 
2.9%
90 12854
 
2.9%
240 11922
 
2.7%
360 11048
 
2.5%
140 7568
 
1.7%
Other values (925) 149346
33.8%
(Missing) 158480
35.9%
ValueCountFrequency (%)
5.397605347 × 10-7918140
4.1%
2 39
 
< 0.1%
3 61
 
< 0.1%
4 24
 
< 0.1%
5 214
 
< 0.1%
ValueCountFrequency (%)
53460 1
< 0.1%
28800 1
< 0.1%
28500 1
< 0.1%
26950 1
< 0.1%
24000 1
< 0.1%

PAMIN21_
Real number (ℝ)

MISSING 

Distinct742
Distinct (%)0.3%
Missing160714
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean181.7385999
Minimum5.397605347 × 10-79
Maximum47520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.020244image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median46
Q3180
95-th percentile840
Maximum47520
Range47520
Interquartile range (IQR)180

Descriptive statistics

Standard deviation479.8232836
Coefficient of variation (CV)2.64018367
Kurtosis969.9257419
Mean181.7385999
Median Absolute Deviation (MAD)46
Skewness17.46484136
Sum51021658
Variance230230.3835
MonotonicityNot monotonic
2024-06-18T20:12:43.071364image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79119391
27.0%
120 13530
 
3.1%
60 10810
 
2.4%
180 8742
 
2.0%
240 8719
 
2.0%
90 6437
 
1.5%
360 5957
 
1.3%
420 5831
 
1.3%
210 5365
 
1.2%
140 4476
 
1.0%
Other values (732) 91484
20.7%
(Missing) 160714
36.4%
ValueCountFrequency (%)
5.397605347 × 10-79119391
27.0%
2 23
 
< 0.1%
3 35
 
< 0.1%
4 33
 
< 0.1%
5 132
 
< 0.1%
ValueCountFrequency (%)
47520 1
< 0.1%
41040 1
< 0.1%
38400 1
< 0.1%
32460 1
< 0.1%
27000 1
< 0.1%

PA1MIN_
Real number (ℝ)

MISSING 

Distinct2899
Distinct (%)1.0%
Missing152419
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean483.8040182
Minimum5.397605347 × 10-79
Maximum54000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.121798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile23
Q1120
median275
Q3546
95-th percentile1680
Maximum54000
Range54000
Interquartile range (IQR)426

Descriptive statistics

Standard deviation744.4641563
Coefficient of variation (CV)1.538772165
Kurtosis321.97387
Mean483.8040182
Median Absolute Deviation (MAD)177
Skewness9.789928034
Sum139837262
Variance554226.88
MonotonicityNot monotonic
2024-06-18T20:12:43.176936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 10186
 
2.3%
420 9669
 
2.2%
120 9573
 
2.2%
210 9183
 
2.1%
5.397605347 × 10-799010
 
2.0%
60 8265
 
1.9%
240 7953
 
1.8%
90 7939
 
1.8%
360 7370
 
1.7%
300 6519
 
1.5%
Other values (2889) 203370
46.1%
(Missing) 152419
34.5%
ValueCountFrequency (%)
5.397605347 × 10-799010
2.0%
2 33
 
< 0.1%
3 50
 
< 0.1%
4 21
 
< 0.1%
5 159
 
< 0.1%
ValueCountFrequency (%)
54000 1
< 0.1%
47640 1
< 0.1%
41670 1
< 0.1%
38520 1
< 0.1%
33080 1
< 0.1%

PAVIG11_
Real number (ℝ)

MISSING 

Distinct581
Distinct (%)0.2%
Missing153678
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean82.47402512
Minimum5.397605347 × 10-79
Maximum14400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.229739image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q384
95-th percentile420
Maximum14400
Range14400
Interquartile range (IQR)84

Descriptive statistics

Standard deviation235.3092929
Coefficient of variation (CV)2.853132153
Kurtosis261.5330746
Mean82.47402512
Median Absolute Deviation (MAD)0
Skewness9.966907172
Sum23734210
Variance55370.46332
MonotonicityNot monotonic
2024-06-18T20:12:43.283597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79196320
44.5%
180 7223
 
1.6%
120 6321
 
1.4%
90 5261
 
1.2%
210 4911
 
1.1%
60 4756
 
1.1%
240 3597
 
0.8%
420 3493
 
0.8%
360 2936
 
0.7%
140 2888
 
0.7%
Other values (571) 50072
 
11.3%
(Missing) 153678
34.8%
ValueCountFrequency (%)
5.397605347 × 10-79196320
44.5%
2 23
 
< 0.1%
3 37
 
< 0.1%
5 76
 
< 0.1%
6 10
 
< 0.1%
ValueCountFrequency (%)
14400 1
< 0.1%
14250 1
< 0.1%
12000 1
< 0.1%
11400 1
< 0.1%
11182 1
< 0.1%

PAVIG21_
Real number (ℝ)

MISSING 

Distinct455
Distinct (%)0.2%
Missing158041
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean50.97478256
Minimum5.397605347 × 10-79
Maximum19200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.338926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q317
95-th percentile240
Maximum19200
Range19200
Interquartile range (IQR)17

Descriptive statistics

Standard deviation190.0638553
Coefficient of variation (CV)3.728585895
Kurtosis788.0896726
Mean50.97478256
Median Absolute Deviation (MAD)0
Skewness15.83789374
Sum14447018
Variance36124.26909
MonotonicityNot monotonic
2024-06-18T20:12:43.396378image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79209356
47.4%
60 7015
 
1.6%
120 5941
 
1.3%
90 4269
 
1.0%
180 4009
 
0.9%
30 2812
 
0.6%
240 2414
 
0.5%
210 2393
 
0.5%
70 1992
 
0.5%
140 1981
 
0.4%
Other values (445) 41233
 
9.3%
(Missing) 158041
35.8%
ValueCountFrequency (%)
5.397605347 × 10-79209356
47.4%
2 32
 
< 0.1%
3 65
 
< 0.1%
5 161
 
< 0.1%
6 12
 
< 0.1%
ValueCountFrequency (%)
19200 1
< 0.1%
16230 1
< 0.1%
12600 1
< 0.1%
12000 1
< 0.1%
6720 1
< 0.1%

PA1VIGM_
Real number (ℝ)

MISSING 

Distinct1510
Distinct (%)0.5%
Missing150970
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean131.439133
Minimum5.397605347 × 10-79
Maximum19200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.451849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q3140
95-th percentile600
Maximum19200
Range19200
Interquartile range (IQR)140

Descriptive statistics

Standard deviation316.5299122
Coefficient of variation (CV)2.408186245
Kurtosis202.8069337
Mean131.439133
Median Absolute Deviation (MAD)0
Skewness8.610935471
Sum38181228
Variance100191.1853
MonotonicityNot monotonic
2024-06-18T20:12:43.509170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79156252
35.4%
120 8217
 
1.9%
60 7813
 
1.8%
180 7669
 
1.7%
90 6342
 
1.4%
210 4772
 
1.1%
240 4612
 
1.0%
420 3659
 
0.8%
360 3491
 
0.8%
140 3068
 
0.7%
Other values (1500) 84591
19.2%
(Missing) 150970
34.2%
ValueCountFrequency (%)
5.397605347 × 10-79156252
35.4%
2 39
 
< 0.1%
3 78
 
< 0.1%
5 157
 
< 0.1%
6 19
 
< 0.1%
ValueCountFrequency (%)
19200 1
< 0.1%
16540 1
< 0.1%
14400 1
< 0.1%
14250 1
< 0.1%
13680 1
< 0.1%

_PACAT1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.257463938
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.552998image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.469185984
Coefficient of variation (CV)0.7580086937
Kurtosis0.9249936363
Mean3.257463938
Median Absolute Deviation (MAD)1
Skewness1.350773195
Sum1438027
Variance6.096879424
MonotonicityNot monotonic
2024-06-18T20:12:43.593280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 131374
29.8%
4 112041
25.4%
3 71142
16.1%
2 71004
16.1%
9 55895
12.7%
ValueCountFrequency (%)
1 131374
29.8%
2 71004
16.1%
3 71142
16.1%
4 112041
25.4%
9 55895
12.7%
ValueCountFrequency (%)
9 55895
12.7%
4 112041
25.4%
3 71142
16.1%
2 71004
16.1%
1 131374
29.8%

_PAINDX1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.380121688
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.629704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.496314993
Coefficient of variation (CV)1.04881822
Kurtosis3.010138627
Mean2.380121688
Median Absolute Deviation (MAD)1
Skewness2.169984
Sum1050719
Variance6.231588542
MonotonicityNot monotonic
2024-06-18T20:12:43.668906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 205013
46.4%
2 183183
41.5%
9 53260
 
12.1%
ValueCountFrequency (%)
1 205013
46.4%
2 183183
41.5%
9 53260
 
12.1%
ValueCountFrequency (%)
9 53260
 
12.1%
2 183183
41.5%
1 205013
46.4%

_PA150R2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.633920481
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.712845image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.49560106
Coefficient of variation (CV)0.9474853464
Kurtosis2.194776723
Mean2.633920481
Median Absolute Deviation (MAD)1
Skewness1.870484588
Sum1162760
Variance6.228024648
MonotonicityNot monotonic
2024-06-18T20:12:43.754370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 205013
46.4%
3 112041
25.4%
2 71142
 
16.1%
9 53260
 
12.1%
ValueCountFrequency (%)
1 205013
46.4%
2 71142
 
16.1%
3 112041
25.4%
9 53260
 
12.1%
ValueCountFrequency (%)
9 53260
 
12.1%
3 112041
25.4%
2 71142
 
16.1%
1 205013
46.4%

_PA300R2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.842512051
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.792648image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.45880435
Coefficient of variation (CV)0.8650110558
Kurtosis2.078047239
Mean2.842512051
Median Absolute Deviation (MAD)1
Skewness1.850397345
Sum1254844
Variance6.045718834
MonotonicityNot monotonic
2024-06-18T20:12:43.832180image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 142146
32.2%
1 131374
29.8%
3 112041
25.4%
9 55895
 
12.7%
ValueCountFrequency (%)
1 131374
29.8%
2 142146
32.2%
3 112041
25.4%
9 55895
 
12.7%
ValueCountFrequency (%)
9 55895
 
12.7%
3 112041
25.4%
2 142146
32.2%
1 131374
29.8%

_PA30021
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.588713258
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.869909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.480960206
Coefficient of variation (CV)0.9583758258
Kurtosis2.698538031
Mean2.588713258
Median Absolute Deviation (MAD)0
Skewness2.099228074
Sum1142803
Variance6.155163545
MonotonicityNot monotonic
2024-06-18T20:12:43.906992image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 254187
57.6%
1 131374
29.8%
9 55895
 
12.7%
ValueCountFrequency (%)
1 131374
29.8%
2 254187
57.6%
9 55895
 
12.7%
ValueCountFrequency (%)
9 55895
 
12.7%
2 254187
57.6%
1 131374
29.8%

_PASTRNG
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.449573683
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:43.943062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.220698153
Coefficient of variation (CV)0.906565158
Kurtosis4.593962652
Mean2.449573683
Median Absolute Deviation (MAD)0
Skewness2.484324428
Sum1081379
Variance4.931500288
MonotonicityNot monotonic
2024-06-18T20:12:43.981714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 287819
65.2%
1 109624
 
24.8%
9 44013
 
10.0%
ValueCountFrequency (%)
1 109624
 
24.8%
2 287819
65.2%
9 44013
 
10.0%
ValueCountFrequency (%)
9 44013
 
10.0%
2 287819
65.2%
1 109624
 
24.8%

_PAREC1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.49412399
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.020039image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.398322175
Coefficient of variation (CV)0.6863872552
Kurtosis0.8607856769
Mean3.49412399
Median Absolute Deviation (MAD)1
Skewness1.318505697
Sum1542502
Variance5.751949253
MonotonicityNot monotonic
2024-06-18T20:12:44.058814image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 150188
34.0%
2 127716
28.9%
1 74696
16.9%
9 57509
 
13.0%
3 31347
 
7.1%
ValueCountFrequency (%)
1 74696
16.9%
2 127716
28.9%
3 31347
 
7.1%
4 150188
34.0%
9 57509
 
13.0%
ValueCountFrequency (%)
9 57509
 
13.0%
4 150188
34.0%
3 31347
 
7.1%
2 127716
28.9%
1 74696
16.9%

_PASTAE1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.742694629
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.096743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.449675589
Coefficient of variation (CV)0.8931638116
Kurtosis2.595115235
Mean2.742694629
Median Absolute Deviation (MAD)0
Skewness2.090698118
Sum1210779
Variance6.00091049
MonotonicityNot monotonic
2024-06-18T20:12:44.134146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 309251
70.1%
1 74696
 
16.9%
9 57509
 
13.0%
ValueCountFrequency (%)
1 74696
 
16.9%
2 309251
70.1%
9 57509
 
13.0%
ValueCountFrequency (%)
9 57509
 
13.0%
2 309251
70.1%
1 74696
 
16.9%

_LMTACT1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing2799
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean2.716879019
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.171380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.324144553
Coefficient of variation (CV)0.4873770761
Kurtosis12.46655578
Mean2.716879019
Median Absolute Deviation (MAD)0
Skewness2.813576073
Sum1191778
Variance1.753358796
MonotonicityNot monotonic
2024-06-18T20:12:44.211961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 290621
65.8%
2 67911
 
15.4%
1 67129
 
15.2%
9 12996
 
2.9%
(Missing) 2799
 
0.6%
ValueCountFrequency (%)
1 67129
 
15.2%
2 67911
 
15.4%
3 290621
65.8%
9 12996
 
2.9%
ValueCountFrequency (%)
9 12996
 
2.9%
3 290621
65.8%
2 67911
 
15.4%
1 67129
 
15.2%

_LMTWRK1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing2799
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean2.815149422
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.249347image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.356101395
Coefficient of variation (CV)0.4817156006
Kurtosis12.73980185
Mean2.815149422
Median Absolute Deviation (MAD)0
Skewness3.102716883
Sum1234885
Variance1.839010993
MonotonicityNot monotonic
2024-06-18T20:12:44.289159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 290621
65.8%
2 90058
 
20.4%
1 42362
 
9.6%
9 15616
 
3.5%
(Missing) 2799
 
0.6%
ValueCountFrequency (%)
1 42362
 
9.6%
2 90058
 
20.4%
3 290621
65.8%
9 15616
 
3.5%
ValueCountFrequency (%)
9 15616
 
3.5%
3 290621
65.8%
2 90058
 
20.4%
1 42362
 
9.6%

_LMTSCL1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing2799
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean3.652717271
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.327786image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.266730072
Coefficient of variation (CV)0.3467911633
Kurtosis7.733688803
Mean3.652717271
Median Absolute Deviation (MAD)0
Skewness1.532308915
Sum1602290
Variance1.604605075
MonotonicityNot monotonic
2024-06-18T20:12:44.368730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 290621
65.8%
3 77678
 
17.6%
2 32422
 
7.3%
1 24937
 
5.6%
9 12999
 
2.9%
(Missing) 2799
 
0.6%
ValueCountFrequency (%)
1 24937
 
5.6%
2 32422
 
7.3%
3 77678
 
17.6%
4 290621
65.8%
9 12999
 
2.9%
ValueCountFrequency (%)
9 12999
 
2.9%
4 290621
65.8%
3 77678
 
17.6%
2 32422
 
7.3%
1 24937
 
5.6%

_RFSEAT2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.824623519
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.407123image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.360811607
Coefficient of variation (CV)1.293862313
Kurtosis5.285561418
Mean1.824623519
Median Absolute Deviation (MAD)0
Skewness2.68550478
Sum805491
Variance5.573431442
MonotonicityNot monotonic
2024-06-18T20:12:44.446288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 376993
85.4%
9 42796
 
9.7%
2 21667
 
4.9%
ValueCountFrequency (%)
1 376993
85.4%
2 21667
 
4.9%
9 42796
 
9.7%
ValueCountFrequency (%)
9 42796
 
9.7%
2 21667
 
4.9%
1 376993
85.4%

_RFSEAT3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.887028379
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.484441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.351386996
Coefficient of variation (CV)1.246079297
Kurtosis5.133664106
Mean1.887028379
Median Absolute Deviation (MAD)0
Skewness2.641005438
Sum833040
Variance5.529020805
MonotonicityNot monotonic
2024-06-18T20:12:44.523614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 349444
79.2%
2 49216
 
11.1%
9 42796
 
9.7%
ValueCountFrequency (%)
1 349444
79.2%
2 49216
 
11.1%
9 42796
 
9.7%
ValueCountFrequency (%)
9 42796
 
9.7%
2 49216
 
11.1%
1 349444
79.2%

_FLSHOT6
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing283502
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean2.290704889
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.560649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.518085756
Coefficient of variation (CV)1.099262401
Kurtosis3.082420143
Mean2.290704889
Median Absolute Deviation (MAD)0
Skewness2.194119211
Sum361826
Variance6.340755876
MonotonicityNot monotonic
2024-06-18T20:12:44.601773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 86683
 
19.6%
2 52328
 
11.9%
9 18943
 
4.3%
(Missing) 283502
64.2%
ValueCountFrequency (%)
1 86683
19.6%
2 52328
11.9%
9 18943
 
4.3%
ValueCountFrequency (%)
9 18943
 
4.3%
2 52328
11.9%
1 86683
19.6%

_PNEUMO2
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing283502
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean2.412259265
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.639053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.778032295
Coefficient of variation (CV)1.151630894
Kurtosis1.728723978
Mean2.412259265
Median Absolute Deviation (MAD)0
Skewness1.893527647
Sum381026
Variance7.71746343
MonotonicityNot monotonic
2024-06-18T20:12:44.679091image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 98752
 
22.4%
2 35792
 
8.1%
9 23410
 
5.3%
(Missing) 283502
64.2%
ValueCountFrequency (%)
1 98752
22.4%
2 35792
 
8.1%
9 23410
 
5.3%
ValueCountFrequency (%)
9 23410
 
5.3%
2 35792
 
8.1%
1 98752
22.4%

_AIDTST3
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing43387
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean1.970155928
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-06-18T20:12:44.717736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.441119251
Coefficient of variation (CV)0.7314747174
Kurtosis17.76506631
Mean1.970155928
Median Absolute Deviation (MAD)0
Skewness4.157572452
Sum784258
Variance2.076824694
MonotonicityNot monotonic
2024-06-18T20:12:44.755996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 269733
61.1%
1 113779
25.8%
9 14557
 
3.3%
(Missing) 43387
 
9.8%
ValueCountFrequency (%)
1 113779
25.8%
2 269733
61.1%
9 14557
 
3.3%
ValueCountFrequency (%)
9 14557
 
3.3%
2 269733
61.1%
1 113779
25.8%